There is a moment in every mobile product that matters more than any other. It is not when a user discovers an unexpected feature. It is not when they complete their first transaction or reach their first goal.

It is the moment, usually within the first three minutes of opening an app for the very first time, when they decide whether it deserves their continued attention.

That decision is rarely conscious. It is felt. The app either makes sense, or it does not. It either delivers value quickly enough, or it demands too much before giving anything back. It either feels designed for someone like them or it feels generic and effortful.

Once that feeling takes hold, it is nearly impossible to reverse. Users who leave after the first session almost never return. Users who stay and find value are far more likely to come back. The gap between the two groups is almost entirely determined by the quality of the app onboarding experience.

What we see consistently across mobile products

Across the mobile products we have built and rebuilt, one finding holds striking consistency: the variable that most reliably predicts whether a user returns on day one is not the quality of the core product. It is whether the user experienced genuine value before the first session ended.

That difference shows clearly in the numbers. Day one retention rates vary enormously across products in the same category, and the gap between 25% and 40% may sound modest, but compounded across a meaningful user base over any significant period, it represents an enormous difference in active users, engagement, and ultimately revenue.

• 25% Typical day-one retention without intentional onboarding
• 40% Achievable day-one retention with a well-designed app onboarding experience
• 3 min window in which most users decide whether to stay

In almost every case where we have investigated that gap, onboarding is where the divergence originates: whether the user understood what the product was for, whether they experienced its value before being asked to give anything in return, whether the first session felt worth repeating.

These outcomes are not accidental. They are designed or, more often, they are left undesigned in the decisions made about onboarding before the app ever ships. Understanding mobile app onboarding best practices begins with recognizing the patterns that consistently undermine them.

Three things most mobile app onboarding experiences get wrong:

Explaining the product instead of demonstrating it 

The most common onboarding mistake is using the first session to tell users what the app does rather than showing them. Feature walkthroughs, capability lists, and permission requests presented before any value has been delivered ask users to invest attention before they have any reason to do so. The onboarding experiences that retain users get to value first and explain later. 

Designing for the average user instead of the individual 

A generic app onboarding experience treats every new user identically. But the signals are already available from the very first interaction: device type, location, time of day, referral source, and early in-app behavior. Effective app onboarding UX uses these signals to make the experience feel personal from the outset, not dramatically, but enough that the product begins to feel relevant rather than generic from the very first session. 

Building onboarding at the end of the project 

This is the most consequential mistake, and the least discussed. Most mobile product projects treat onboarding as an afterthought, designing the core product first and fitting the onboarding around what already exists. The result is an onboarding experience that mirrors the product’s internal structure rather than the user’s journey through it.

Getting to value quickly requires knowing, from the very start of a project, which moments in the product are most likely to drive the decision to return, and designing the entire onboarding experience around reaching those moments as directly as possible.

What great onboarding does

The mobile app onboarding experiences that drive long-term retention share a set of characteristics that are straightforward to describe and genuinely difficult to execute well.

• They deliver value before asking for anything. Users understand what the product can do for them because they have experienced it, not because they have been told about it.
• They are short. Not because brevity is a virtue in itself, but because every additional step between installation and first value is an opportunity for the user to leave. The best onboarding experiences are ruthlessly disciplined about removing anything that does not directly accelerate the path to that first meaningful moment.
• They set accurate expectations. Users who understand both what a product is for and who it is designed for are more likely to stay. Those who misunderstand it are more likely to leave when reality does not match what they imagined.
• They treat the end of onboarding not as a destination, but as the beginning of a continuous process of personalization and value delivery, one that evolves as the product learns more about the individual user.

The role of AI in onboarding

Most discussions of AI in mobile products focus on the ongoing experience: recommendations, personalization, and intelligent search. These matter. But AI has an equally significant role to play in onboarding specifically.

The signals available during a user’s first session, combined with contextual data available at the point of installation, are sufficient to begin building a clear picture of who that user is and what they are likely to value. A product that uses those signals can begin shaping the app onboarding experience from the very first interaction, rather than waiting until a usage history has accumulated. The effect of those early decisions on day one retention and long-term engagement is substantial.

And, like every other aspect of onboarding, it must be designed from the start of a project, not retrofitted once the core product exists.

The first experience shapes every experience after 

When Robosoft rebuilt the McDelivery platform for McDonald’s India, onboarding UX was not treated as a wrapper around the core product. It was treated as the first commercial moment. The question was not how to explain the app to a first-time user; it was how to get someone who is hungry right now to their first order as quickly and as confidently as possible. 

That reframe changed every onboarding decision: what was shown first, what was deferred, how much information was requested before the first order was placed, and how the experience was designed for someone making a decision under time pressure with a specific outcome in mind.

The result: a 55% increase in mobile orders and over 1 million downloads, sustained through repeat behavior rather than acquisition spend.

The same thinking shaped the Invesco Mutual Fund platform rebuild. The onboarding was designed to get an investor who already knew what they wanted to the information they needed as directly as possible.

Downloads tripled within six months, and the platform sustained 800,000 monthly active users.

The questions worth asking about your own onboarding

Most teams can answer detailed questions about their core product with confidence. The same precision is worth bringing to onboarding.

• How long does it take for a new user to experience the first moment of genuine value in your product?
• What percentage of users who install your app actually complete the onboarding?
• At which point do most users who leave choose to leave?
• When was your onboarding last redesigned from the user’s perspective, rather than updated to accommodate a new feature?

The answers reveal more about long-term retention prospects than almost any other set of metrics. They are worth knowing and acting on before the next release cycle, not after the next retention review.

Robosoft Technologies builds mobile applications for some of the world’s most demanding consumer and enterprise brands, from platforms driving 55% increases in mobile orders to fintech apps sustaining 800,000 monthly active users. If you are thinking seriously about the role onboarding plays in your mobile product’s retention performance, we would be glad to have that conversation.

Get in touch: [email protected] · www.robosoftin.com

Most digital CX strategies are solving for a customer who is changing faster than the strategy can keep up. They are optimizing for the person tapping through screens, but the most forward-moving customers are increasingly delegating that experience entirely to AI agents that act on their behalf. When those agents hit friction in your experience, they do not complain. They do not churn in any way your analytics will catch. They simply never come back. 

That is not a technology observation. It is a strategic problem that is quietly compounding in most organizations right now. 

Physical and digital touchpoints are converging. AI agents are beginning to browse, compare, research, and transact on behalf of customers. And the gap between how well leadership thinks the experience is performing and how customers actually feel about it remains stubbornly wide. 

Building a future-ready digital customer experience means designing for this new reality, not the one that existed three years ago. The organizations doing this well share five common traits. 

1. They Stopped Mapping Journeys. They Started Owning Them

Forrester predicts that two-thirds of CX teams will abandon traditional journey mapping in 2026. The response in many boardrooms has been confusion: if journey mapping is failing, what replaces it? The answer is not a new methodology. It is a different ambition. 

Traditional journey maps document how customers move through an experience. They are, by definition, backward-looking. What leading organizations are building instead are intelligent platforms where context, intent, and progress carry forward at every handoff, digital to digital, digital to physical, in real time. The journey does not get mapped. It gets owned. 

CASE STUDY: Brightline 

Brightline, the only privately-owned intercity railroad in the US, came to us with five disconnected systems: mobile booking, QR-based station entry, GIS-powered parking navigation, integrated ridesharing, and physical station infrastructure. This was a customer digital transformation challenge at its core. Passengers were being handed off to each other with no continuity. The insight driving our redesign was not that the systems needed better integration. It was the passenger’s intent, getting from A to B with as little friction as possible, that should persist across every touchpoint without them having to restate it. We rebuilt across native apps, responsive web, and kiosks with that principle as the foundation. One seamless experience emerged from five fragmented ones. 

2. Personalization Based Only on History Is a Broken Promise

Most personalization engines tell a customer who they are. The best digital experiences tell customers you understand what they need right now. These are fundamentally different capabilities, and the gap between them is where trust is won or lost. 

Historical data has real value. But it creates a ceiling. A customer who researched retirement funds last quarter may not be researching them today. A business user who typically accesses a dashboard from their desktop now needs it on a phone, in a meeting, in thirty seconds. Contextual awareness, understanding where someone is in their decision, what they are trying to accomplish, and what they are holding is what closes that gap. 

CASE STUDY: Invesco 

When Invesco needed to bring advisor-investor workflows into a single mobile-first experience, the design challenge was not building a better dashboard. It was building the right dashboard for each advisor’s specific work context, at the moment they needed it. Portfolio performance, fund recommendations, and business indicators had to surface differently depending on whether an advisor was in a client meeting, preparing for one, or reviewing end-of-day numbers. We designed around real work patterns, not historical usage data. The result was a tool advisors actually changed their behaviour to use which is the only meaningful measure of whether contextual design has worked.

3. Inconsistency Is Not a Design Problem. It Is a Trust Problem

When a customer encounters a different experience on your app, your web portal, or your customer service interface, they do not think: ‘Their design team lacks coordination.’ They think: ‘I do not fully trust this organization.’ 

This is why Forrester expects 80% of companies to invest in design systems in 2026, not as style guides, but as infrastructure with dedicated product budgets and ownership. A design system is the difference between CX that moves at sprint speed and CX that moves at customer speed. It also breaks the dependency between content teams and engineering, which creates bottlenecks whenever a customer-facing change is required. 

CASE STUDY: BSI (British Standards Institution) 

BSI operates across 193 countries, serves over 80,000 businesses, and runs five interconnected platforms spanning mobile audit tools to supply chain risk dashboards. Inconsistency at that scale does not just frustrate users it undermines the credibility of an organization whose entire value proposition is the reliability of standards. We began with design thinking workshops, then built a system of 100+ UI/UX components and a comprehensive style guide, now underpinning every platform. The design system became the product. Everything built on top of it became faster, more consistent, and more trusted by the users who depend on it. 

4. One Metric Should Govern Everything 

The most expensive mistake in digital CX is building something that looks sophisticated but does not move the number that matters. Leadership celebrates the launch. The metrics barely shift. The team cycles into the next initiative without understanding why. 

Future-ready CX is designed backward from a North Star Metric: a single measurable outcome the experience exists to drive. Not a suite of engagement metrics. Not a balanced scorecard. One number. Every design decision, every feature prioritization, every technical trade-off is evaluated against it. 

This discipline becomes even more critical as AI agents enter the picture. When an agent mediates the experience, the customer evaluates the result not the interface, not the process, not the visual design. Outcome-based design is how organizations stay relevant in an era of agentic CX. 

CASE STUDY: McDonald’s

McDonald’s India’s McDelivery app was underperforming against expected order volume. The instinct in many organizations would have been to improve the UI. Our instinct was to start with behavior. Observational research at physical outlets showed where customers were abandoning the digital path not because the app was poorly designed, but because the digital journey was competing with, rather than complementing, the physical ordering behavior customers already trusted. The redesign put flexible order modes on the first screen, introduced personalized recommendations, and stabilized the backend. North Star: more orders through digital. Result: 103% growth in mobile orders, over 10 million downloads. The lesson is not that better design drives better metrics. It is that the right design question asked before a single pixel is drawn is what drives better metrics. 

5. The Next Frontier Is Not a Better Interface. It Is No Interface at All

This is where the conversation gets uncomfortable for organizations still measuring CX by app store ratings and session lengths. 

The industry is moving from AI-assisted to AI-native. Customers are increasingly delegating tasks, research, comparisons, bookings, purchases to AI agents that act on their behalf. When those agents cannot navigate your digital experience, the human behind them chooses a competitor whose experience the agent can use. You never see the drop-off because there was no session to record. 

The real strategic question is not how to build your own AI agent. It is about making your experience work for the agents your customers already trust. This is a shift from interface-centric to intent-centric design. At its furthest point, it leads to what the industry is beginning to call zero UI: value delivered without customers navigating screens at all. Intent expressed, agent executes, outcome delivered. 

Building for this means designing products that are machine-readable as well as human-readable. It means experiences that sense intent rather than wait for input. It means human validation loops that keep the system honest when agents make decisions on behalf of customers who are not in the room. 

Organizations that treat this as a future problem are already behind. The customers most likely to use AI agents are, by definition, high-intent and high-value. They are exactly the segment every business is trying to reach. 

What Separates the Companies Customers Will Choose Tomorrow 

The organizations winning on digital customer experience share a common trait that has nothing to do with budget or technology. They have stopped treating CX as a layer applied to a product and have started treating it as the product itself. 

Design has shifted from screen-centric to relationship-centric. Context compounds over time rather than resetting with every session. AI-native experiences are built on conversational journeys, voice-first interactions, and prompt-driven thinking, all grounded in outcome-based design and human validation. The companies building for this shift today are the ones customers will choose tomorrow. 

The ones waiting to see how it plays out are running a risk they may not yet be able to measure, but their customers already can. 

Robosoft Technologies 

We work with enterprises across Fintech, Travel, Retail, Media & Entertainment, and others to build AI-native digital products, combining experience design, software engineering, and data and AI as an integrated discipline, driving CX transformation. If your digital CX is due for a harder look, we would like to have that conversation.

Connected TV is no longer a distribution surface. It is becoming the operating system of the living room, where household engagement, monetization, and retention are decided.

Next‑generation CTV is shifting from browsing to intent‑predicted engagement, powered by AI, household‑level data, and resilient platform engineering. Streaming businesses that treat CTV as a full‑stack capability, spanning performance, intelligence, monetization, and operational resilience, will outpace competitors still approaching it as “mobile on a bigger screen.”

Where households decide to stay or leave

First‑session abandonment on Connected TV remains stubbornly high. Subscribers download apps, browse briefly, and exit before content value is fully assessed. 

In those early moments, households were not judging catalog depth. They are judging whether the service belongs in the living room: onboarding friction, navigation clarity, discovery effectiveness, and playback reliability. 

Connected TV is where streaming businesses are won or lost, yet it is frequently where product organizations are least operationally prepared.

CTV apps are becoming intelligent living‑room platforms

This is not a UX trend. It is a capability shift.

Next‑generation CTV reduces decision fatigue by anticipating intent rather than waiting for explicit input:

• Predictive discovery based on household viewing patterns
• Context‑aware recommendations shaped by time‑of‑day and session type
• Mood‑driven search using natural language intent
• Cross‑device intent recognition, where discovery begins on mobile and resolves on TV
• Real‑time personalization across household profiles, not static personalization

Discovery is no longer a menu problem. It is an engagement system.

What AI is changing in CTV

AI is not just improving recommendations. It is restructuring the economics of content discovery.

The cost of serving the right title to the right household at the right moment is falling to zero. The cost of a wrong recommendation, an abandoned session, a cancelled subscription, a household that never returns, is rising. That asymmetry is what makes AI infrastructure a strategic investment, not a feature.

Concretely, this means:

Generative AI is rewriting the discovery interface

Voice input powered by large language models moves beyond keyword search into genuine intent understanding. A household saying “something light for after dinner” gets a relevant result, not a confused one. First‑session success rates improve. Personalization signals accumulate faster.

AI is collapsing with the gap between signal and action

Earlier generations of recommendation engines updated on a cycle, daily or weekly. Real‑time AI inference means the platform responds to what a household is doing now: switching profiles mid‑session, abandoning a title at the twelve‑minute mark, returning after a two‑week gap. Each signal feeds back into the model immediately.

AI-curated home screens are replacing static content rows

The home screen is no longer a merchandising decision made by an editorial team once a week. It is a continuously updated, household‑specific surface, the single most valuable piece of real estate on the platform, dynamically managed at scale.

The platforms investing in this infrastructure now are not building a better recommendation engine. They are building a compounding retention advantage that widens every quarter.

The multi‑device reality: CTV as the household hub

Households move fluidly across devices. Discovery often starts on mobile, continues on tablets, and culminates on the TV, sometimes within the same session.

The engineering target is not a single‑screen experience but continuity across the household’s device graph: maintaining play state, profile context, and discovery intent across environments.

Beyond the “10‑foot experience”: intelligence determines outcomes

Usability fundamentals, including legibility, safe areas, focus behavior, and accessibility, remain at table stakes. The differentiator is what sits on top of them.

Navigation becomes an intent flow

Next‑gen platforms reduce steps by arranging UI around predicted household intent. Navigation shifts from finding to confirmation.

The remote becomes conversational

Voice input, increasingly powered by Generative AI, enables contextual discovery, faster first‑session success, and continuously strengthening personalization signals.

Monetization expansion: FAST and commerce move to center stage

FAST platforms, including Pluto TV, Roku Channel, Samsung TV Plus, and Tubi, are expanding globally, creating a hybrid streaming ecosystem where subscription and ad‑supported experiences coexist within the same household environment. This raises the operational bar significantly: dynamic ad insertion, household targeting, and governance requirements must coexist with playback stability and experience quality.

Content and commerce are also converging through shoppable overlays, QR‑driven flows, and contextual product placement, transforming the TV into a retail media surface and creating a new unit of value: revenue per session, not just per subscriber.

Data infrastructure: household signals become strategy

A mature CTV data layer captures household co‑viewing patterns, peak‑time behavior, intent signals (browse vs. play vs. abandon), and cross‑profile consumption flows.

At scale, these signals inform dynamic subscription bundling, FAST inventory and targeting strategy, content acquisition decisions, and retention interventions during early sessions.

Data evolves from analytics into an operating control surface, and it is the fuel that makes AI infrastructure perform.

Engineering the platform beneath next‑gen CTV

CTV experience quality in the living room is determined less by interface design than by platform engineering. Five critical layers define whether a platform performs in real households or only in controlled environments.

1) Performance architecture

CTV platforms must support low‑latency live‑event scaling, real‑time personalization without playback degradation, and safe over‑the‑air update governance across device fleets. Few organizations can deliver all three without stability trade‑offs.

2) Content delivery

Content delivery must account for extreme hardware variability, from premium Apple TV devices to constrained Android TV environments.

3) Design systems at scale

Component‑based, token‑driven systems enable consistency across Roku, Fire TV, Apple TV, Samsung, LG, and Android TV without fragmenting experiences.

4) Data and intelligence infrastructure

Personalization, recommendations, and cross‑device continuity require unified signal processing across household profiles. This is the layer where AI either compounds or collapses, and it is only as good as the data architecture beneath it.

5) Operational resilience

Living rooms are unpredictable environments. Graceful degradation and intelligent recovery are non‑negotiable.

Building Discovery+ across mobile, web, and smart TVs required every one of these layers to work in harmony, under the pressure of live production environments across fragmented device ecosystems. It is precisely this kind of at-scale, multi-platform engineering that reveals where theoretical frameworks meet real-world complexity.

What the next three years of Connected TV will look like

Next‑gen CTV platforms are already incorporating capabilities that move well beyond content delivery:

• AI‑curated home screens replacing static content rows
• Retail media becoming a primary monetization layer alongside subscriptions
• Voice‑first navigation replacing remote‑driven search
• Cross‑platform identity graphs enabling seamless, continuous viewing
• FAST ecosystems rivaling traditional broadcast channels in reach and targeting
• Mood‑driven search using natural language
• Cross‑device intent recognition, with mobile to TV continuation becoming a standard expectation
• Dynamic personalization evolving continuously, not set once at onboarding

The platforms investing in these capabilities now will define household viewing habits for the next decade.

The Robosoft perspective

Connected TV should be engineered as a household platform capability, where experience design, data intelligence, monetization systems, and operational resilience are built together, not layered sequentially. This is what separates functional CTV applications from platforms that deliver sustained retention and monetization.

When CTV is engineered as a platform:

• Household economics improve as multi‑user engagement compounds lifetime value
• Switching friction increases once routines and personalization are established
• Brand perception strengthens because the big screen is the most visible proof of quality

For media and entertainment organizations, the question is whether Connected TV is engineered to deliver intent‑predicted engagement, FAST‑ready monetization, and living‑room reliability across fragmented device ecosystems.

Robosoft partners with streaming teams to design and engineer next‑generation CTV platforms that scale under peak conditions and perform consistently in real‑world household environments.

Let’s discuss your CTV strategy.

A blueprint conjures up visions of a plan, a model, or a template. It can be replicated and saves time and effort. Similarly, in the digital world, Design Systems act as the blueprint for creating consistent, scalable, and efficient product design.

Any physical or digital product needs a defined process to establish a unique identity. This becomes crucial in today’s crowded marketplace, full of parity products and services.  The quality of customer experience on digital platforms is often a differentiating factor for brands and becomes the basis of customer engagement and loyalty.

Creating a robust design system is essential for startups and enterprises aiming to deliver consistent, scalable, and efficient digital experiences. For senior design professionals, mastering their creation and governance is key to driving product quality, team efficiency, and brand integrity across complex organizations. This blog explores the best practices in building and maintaining Design Systems. It covers the need for Design Systems, how to build them, their benefits in redesign projects, and strategies for maintenance and scalability.

What is a Design System? Why do we need one?

Design System combines branding and UI/UX principles, establishing a shared vision to ensure each user touchpoint reflects the brand’s values and personality. Such consistency promotes familiarity and memorability, vital assets in a digital marketplace crowded with similar offerings.

Today, organizations must deliver seamless user experiences across multiple platforms and products. A design system addresses this by providing a shared language and reusable components that unify design and development efforts.

Without a design system, product teams risk inconsistent UI elements, leading to fragmented user experiences and brand dilution.

Building a Design System: best practices

Building a design system is a structured process that requires careful planning, collaboration, and iteration. Here are the Design System best practices and key steps:

1. Analyze your current design process

Start by auditing your existing design assets, tools, and workflows. Understand the design maturity of your teams and identify pain points such as inconsistencies or inefficiencies. This baseline helps tailor the design system to your organization’s needs.

2. Define guiding principles

Establish design principles that reflect your organization’s values and goals. These principles act as a north star, guiding design decisions and ensuring alignment across teams. For example, if accessibility is a priority, include actionable guidelines for inclusivity and compliance with standards. Airbnb’s Design Language System centers on “belonging,” influencing warm colors, approachable typography, and inclusive visuals that make every interaction feel personal.

3. Conduct a UI audit and catalog components

Inventory all UI elements—buttons, forms, icons, colors, typography, grids, and patterns. Evaluate each component’s usage and relevance, keeping only those that serve user needs and business goals. This creates a component library that forms the core of your design system.

4. Create a visual language

Define your brand’s visual identity through colors, typography, spacing, and iconography. Introduce grid systems and layout rules to ensure consistency across screens and devices. This visual language should be documented clearly for easy reference.

5. Build and document components

Develop reusable UI components with clear usage guidelines, including behavior, anatomy, and accessibility considerations. Documentation should be comprehensive, covering when and how to use each component, supported by code snippets and design files.

6. Establish governance and collaboration models

Design Systems evolve continuously. Define a governance strategy to manage updates and contributions. Common models include:

• Solitary: one person or a small team owns the system.
• Centralized: a dedicated team manages the system.
• Federated: multiple teams share responsibility.

Choose a model that fits your organization’s size and culture, ensuring clear communication and version control. IBM’s Carbon Design System encourages regular review sessions and open channels for feedback, balancing governance with community contributions.

7. Roll out and promote adoption

Communicate the design system’s value and usage across teams. Provide training, create accessible documentation hubs, and encourage feedback. Use tools like Slack channels or project management software to keep everyone informed and engaged.

Benefits of using a Design System

Redesigning digital products is complex and resource-intensive. Leveraging a design system during redesign offers significant advantages:

• Reduction in design time: on average, screen design times reduced significantly by around 30-40%, thanks to the library of pre-designed elements.
• Reduced feedback time: stakeholders reviewed designs faster due to the predictable structure and consistent patterns.
• Minimized errors: with standardised components and design patterns, inconsistencies across screens and platforms dropped significantly.
• Pre-built components: designers could leverage reusable UI components, eliminating the need to start designs from scratch.
• Reduced iterations: pre-approved design standards minimised back-and-forth revisions during the design phase.
• Efficiency in the hand-off process: developers received well-documented, pixel-perfect designs, reducing guesswork and errors during implementation.
• User-centered improvements: Design Systems often incorporate accessibility and usability best practices, ensuring the redesign enhances the overall user experience.
• Scalability for future growth: a well-maintained design system supports ongoing iterations and expansions without starting from scratch, making redesigns more sustainable.
• Cross-functional alignment: Design Systems foster collaboration between designers, developers, and product managers by establishing clear guidelines and standards. This shared understanding minimizes miscommunication and streamlines workflows.

In essence, a design system is not just a style guide but a strategic asset that drives product quality, team productivity, and business growth.

Design System in action

We recently created a Design System for a leading audit brand in the US.  Our journey began with building a robust design system based on the product requirements, new brand guidelines, and foundation DSM created for the website. This foundation ensured that our approach was both strategic and aligned with core values and vision of enhanced experience.

We built the design system using the Atomic Design framework, defining and designing everything from tokens to layouts.

We then set out the design goals, a design style guide, design tokens and components.

As we transitioned to redesigning the training platform, we carefully adapted the design system. Our approach focused on addressing challenges like inconsistencies and scalability while retaining the brand essence.

Key takeaways

• Design Systems are essential for delivering consistent, scalable, and efficient digital experiences across products and teams.

• Building a design system involves auditing current assets, defining guiding principles, creating a visual language, developing reusable components, and establishing governance.

• Using a design system in redesign projects accelerates workflows, improves consistency, reduces technical debt, and enhances collaboration.

• Maintenance requires continuous updates, clear ownership, scalable architecture, thorough documentation, and effective communication.

• Choosing the right governance model and fostering cross-functional collaboration are critical for long-term success.

• By investing in a well-crafted design system, startups and enterprises can streamline their product development, improve user experiences, and maintain a competitive edge in the digital marketplace.

• This strategic approach to Design Systems empowers product managers and design experts to build cohesive, user-centered digital products that scale efficiently and adapt to evolving business needs.

Creating a successful product isn’t just about adding the right features, it’s about ensuring users’ ease and delight in interacting with it. That’s where usability testing comes into play. 

This comprehensive guide breaks down the what, why, and how of usability testing to help you design user-centric digital products. 

We also introduce our RAPID framework (an easy-to-use design thinking approach). 

What is usability testing?

Usability testing is a structured, user-centric approach to evaluate how intuitive, efficient and satisfying your digital product is. More than just functionality, it’s about observing real people as they try to complete tasks using your product. Where do they pause? What causes confusion or frustration?

It makes you understand the user experience of a particular instance of the prototype you are testing for. Whereas the user interview would provide a holistic view of user psychology. 

Elements of usability testing 

According to the popular user experience community, Nielsen Norman Group, usability testing has three elements. However, we believe there exist a fourth element as the facility:

• The Facilitator – the guide who creates the tasks and sets the tone. 
• The Participant – the real-world user who brings authentic interaction. 
• The Tasks – the practical product journeys you want the user to navigate. 
• The Facility – that has testing tools, prototypes, and digital assets. 

Why usability test? 

You might wonder, “If we’ve hired expert UX designers, why do we still need usability testing? Shouldn’t their experience and talent be enough?” 

Think of it this way: every choice on the interface has countless variables, and each user brings unique perspectives and preferences. The combination of these factors is vast, and there’s no shortcut around it. Usability testing is the key to unlocking those insights. By observing users engage with your product or service, you get a clear view of what resonates and what needs a second look. 

How does usability study drive conversions? 

UX often segments customers into continued journey vs drop-offs. Carefully crafted UX walks users toward their goals, whether exploring content, making a purchase, or downloading an app. Visitors who move through your platform easily are far more likely to complete desired actions. Conversely, even minor usability lags can leave potential customers feeling frustrated or lost, leading to high bounce rates and lost opportunities. 

UX testing methods 

Usability testing transcends the mere act of checking if buttons are clickable or verifying that date fields can be personalized. Instead, it incorporates a range of methods designed to find how users genuinely interact with your product. Below are several core methods to consider: 

Moderated testing 

In this method, you (the researcher) walk participants through a series of tasks, observing their actions and inquiring about their thought processes in real-time. Because you have the chance to ask for clarification, moderated testing works well for complex or lengthy workflows that might confuse new users. 

Unmoderated testing 

Here, participants complete tasks independently, often through an automated platform. This approach allows for faster feedback and covers a broad spectrum of users, but you lose the ability to ask follow-up questions during the session. 

In-person and remote testing 

Usability testing can be conducted in person or remotely. These are not separate testing types but delivery modes that complement both moderated and unmoderated formats. 

In-person sessions allow you to be physically present with participants, making it easier to observe non-verbal cues like facial expressions, body language, or moments of hesitation. These cues are valuable for capturing deeper user insights. 

Remote sessions, on the other hand, are conducted online using screen-sharing tools or dedicated usability platforms. They are ideal for distributed teams, global user bases, or scenarios where logistics make in-person testing impractical. 

The journey doesn’t conclude with data gathering. Post-testing, the real challenge begins – analyzing your findings for actionable insights. This is where we can step in. 

How to conduct usability testing: a step-by-step framework 

Effective usability testing goes beyond checklists and surface-level observations. At Robosoft, we follow a proven methodology called RAPID (Robosoft Accelerator for Product Innovation in Digital), a plug-and-play, Design Thinking–based framework. 

We have conducted extensive usability testing for a wide range of consumer and enterprise apps. One such engagement was with Motif, a US-based photobook editing app for iOS. Here’s how we put theory into action. 

STEP 1 – Preparation stage: project setup 

Preparation stage is the foundation of a successful empathy-based usability testing project. It ensures that the research objectives are clear, and the right users are recruited. 

For example, in our work with Motif, we segmented users into age-based cohorts (Gen Z, Millennials, and Gen X). Each with different levels of photo-editing experience. This helped us set realistic goals, such as selecting photo book types, uploading images, and customizing layouts. 

STEP 2 – Testing phase: unmoderated usability testing 

This phase involves evaluating the live product or prototype to identify usability and product issues.  

In Motif’s case, we conducted task-based unmoderated tests where participants interacted with the app on their iPhones and iPads. Tasks included selecting a book type, choosing photos, editing layouts, and checking out. The sessions revealed valuable insights, such as frequent confusion around image selection sliders and theme previews, and helped identify friction points like long loading times during checkout. 

Empathy Interview (Follow up)

This step involves deeper user conversations to explore motivations, challenges, and emotional responses, adding context to what was observed during task completion. 

For Motif project, we conducted empathy-driven interviews to understand not just what users did, but also why they performed particular action. For instance, users who skipped the guided tours shared that the language was too dense or repetitive. Others expressed frustration over not being able to preview themes before selection. These emotional insights proved crucial in shaping product-level recommendations. 

STEP 3 – Usability report phase: insights and recommendations 

The final stage involves analyzing the findings and presenting them in a structured report, as well as supporting the planning of the next steps. 

Our final report for Motif consolidated effectiveness, efficiency, and desirability scores. We prioritized findings into Must Fix, Should Fix, and UI/UX Upgrades, helping the product team quickly focus on what mattered the most. 

While the above Motif case study offers a glimpse into our usability testing approach, it’s just one of many success stories. At Robosoft, we’ve partnered with several global brands across industries to improve user journeys through thoughtful research and design. 

Usability testing best practices 

Use these guidelines when planning, conducting, and analyzing usability tests. It focuses on ethical considerations, data accuracy, and meaningful product improvements. 

• Get consent from participants: clearly explain the study’s purpose and how you will use the data. Request written or verbal agreement before starting.
• Recruit relevant users: target participants who match your product’s user profile. Their feedback will reveal issues and requirements that matter the most.
• Record and analyze results: document the observations throughout testing. Review data to identify pain points and prioritize improvements.
• Test in the real environment: simulate actual usage conditions (devices, environments, connection speeds). This approach highlights issues that emerge in day-to-day scenarios.
• Conduct relevant compatibility checks: ensure usability is tested in the environments your users will actually use. If your product is mobile-first, focus on device and OS diversity. If it’s web-only, browser compatibility might matter more. Instead of a blanket cross-platform approach, align testing environments with real-world usage scenarios.
• Conduct iterative testing: integrate usability tests at different stages of your development lifecycle rather than treating it as a one-time activity. By revisiting the product repeatedly, you catch potential issues sooner and refine the UX at every stage, saving considerable time and resources in the long run.
• Prioritize usability over visual perfection: instead of focusing on pixel-perfect interfaces or polished UI elements, prioritize making features intuitive, accessible, and functional. A well-designed feature loses value if users can’t understand or effortlessly access it. 

Taking your product to the next level 

Usability testing is one of the most valuable investments you can make in your product’s success. It helps build customer confidence, identify hidden issues early, and fine-tune the user experience before launch. 

Depending on the need and state of the project, usability testing can be conducted for the specific type of results that one intends to get out of it. It does incur initial cost, but the long-term benefits are invaluable. 

Once your product moves into the prototype phase (before any code is written), usability study helps validate ideas and gather early feedback on new implementations. Testing at this phase enables faster design iterations and ensures that only user-validated features move forward, reducing rework and saving both time and cost 

If you wish to be more closely involved, our RAPID methodology offers a structured, collaborative approach. Both you and your team can observe and analyze test sessions together. Perhaps you are wondering how many users to include, whether you should personally review the findings, or if you would prefer a comprehensive report. You don’t need to have all the answers right now. We are here to guide you step by step. Contact us to explore how usability testing can fit seamlessly into your workflow.

More than half of US consumers believe that ordering delivery and takeout from restaurants is an “essential part of their lifestyle”. The trends would be along similar lines across the globe. In some countries, ordering 3-6 times a week is common among the 25-34 age group. While ordering food delivery via third-party aggregator apps or websites is common, a significant number opt to order directly through a restaurant’s website or app .  

Aggregator platforms provide initial reach, but also restrict branding, charge high commissions, and limit direct customer engagement. Food ordering via one’s own website or mobile app makes business sense for restaurant and QSR chains. A user-centric approach and digital experiences that prioritize customer needs are a critical need for such an initiative. The starting point for this journey is service design. 

What is service design in online food ordering? 

Service design is all about creating an experience that aligns with customer needs and preferences. It is about thoughtfully designing processes, touchpoints, and interactions that align with those expectations. It also involves understanding how customers interact with your app or website – from browsing menus to placing orders and tracking deliveries. 

Effective service design takes into account every element involved in the ordering process, including digital and physical environments, employee-customer interactions, and all service touchpoints. The real value of service design comes from involving all stakeholders in the process. Through collaborative efforts, such as design thinking workshops, businesses can gather diverse perspectives and incorporate them into the design process. 

Benefits of a seamless digital experience for QSRs  

A well-designed food ordering system can turn peak-hour chaos into a streamlined operation and meet evolving customer preferences. Here are a few benefits that can introduce your restaurant to new customers. 

• Faster service during peak hours through automated queuing and order management.
• Gain insights into customer preferences and test the market for new menu items.
• Expanded reach by integrating third-party delivery platforms.
• Enhanced customer satisfaction with real-time updates and delivery tracking.
• Better marketing opportunities through targeted digital campaigns based on customer data.
• Reduced overhead costs through improved staff scheduling and resource allocation.
• Enhanced kitchen inventory management and optimizing supply.
• Increased order accuracy with mobile ordering systems.

Food ordering experiences commonly overlooked by QSR brands 

Customers are more likely to share bad experiences than good ones. Therefore, it’s essential for QSR brands to continually optimize their app design to avoid common pitfalls, such as:

Missing favorites: many QSRs miss the option to allow customers to save and quickly reorder their favorite meals. Without a favorites list, customers are forced to reselect items from scratch, which can lead to longer ordering times. Including a simple “favorites” option enhances convenience and encourages repeat orders.

Visual appeal of food: another common oversight in digital ordering is the absence of photos for some menu items. You don’t order what you don’t see. Providing high-quality images for all menu items creates a more engaging and appetizing customer experience. Brands that prioritize visually appealing menus stand a better chance of attracting and retaining customers.

Lack of customization: customers appreciate the ability to tailor their orders to their preferences, whether that means adding extra toppings, choosing portion sizes, or selecting dietary preferences. For example, features like “Add cooking request” allowing special instructions or additional comments during order customization, make the experience feel more tailored and accommodating. 

Limited filtering options: customers value the ability to filter options based on their specific needs, such as distance, fastest delivery time, or even toggle between delivery and pickup options. Many QSR apps overlook this, forcing users to scroll through irrelevant options, which can be time-consuming and lead to missed opportunities for restaurants to capture potential orders. Offering advanced filtering options allows users to make quicker decisions, provide more control and convenience.

Difficulty finding cart: another common challenge users face is the difficulty in locating the cart. When customers are ready to check out, they want easy and immediate access to their cart without navigating through multiple screens. If the cart icon is not clearly visible or accessible throughout the ordering process, it can lead to increased cart abandonment. 

Creating seamless digital food ordering experiences 

We must remember that the customer ordering food online is also a user of several other mobile & app experiences across categories. The intuitive design and user experience of one app or mobile site in one category makes them expect a similar or better experience in all categories.

User-friendly QSR web and mobile app design 

While mobile apps lead the way in online food delivery, websites remain an essential part of the QSR ecosystem. They offer a convenient platform for users who prefer browsing menus on larger screens or placing orders from desktops, particularly in office settings. Websites also serve as a critical entry point for first-time customers who discover services through web searches.

Customers interacting with your platform expect effortless navigation and mobile optimization to accommodate their fast-paced lifestyles. The layout should be intuitive, with well-organized menus and a responsive design that adapts seamlessly across devices. It’s also crucial to prioritize accessibility by following WCAG guidelines to ensure that all users, including those with disabilities, can easily navigate your platform. This enhances inclusivity and broadens your customer base.

Additionally, visual appeal plays a crucial role in capturing attention. A clean, aesthetically pleasing interface with high-quality images and clear fonts creates a professional, welcoming experience that encourages users to explore further and complete their orders. 

Personalization 

Personalization is the key ingredient that transforms casual users into loyal customers by making them feel valued and understood. By analyzing customer data, QSRs can offer personalized recommendations that suggest meals based on:

• Past orders
• Customer demographics
• Loyalty program data
• Feedback and reviews
• Seasonality (or limited time offers)

Additionally, enabling customizable profiles allows users to set preferences, dietary needs and even create profiles for different family members, ensuring that every suggestion or offer feels relevant to their specific needs. Dynamic content further enhances this by adapting menus and promotions in real-time based on user data, making each interaction feel exclusive and relevant. Personalizing the experience ensures that repeat visits become a deliberate outcome of the design strategy rather than a matter of luck. 

Efficient delivery and order fulfillment process  

Customers expect their orders to arrive fresh and fast. Providing real-time order tracking offers transparency and builds trust by allowing customers to follow their order journey from preparation to delivery.

Offering flexible delivery options is another way to elevate customer satisfaction. Whether customers want fast delivery for immediate cravings or more budget-friendly options for larger orders, having a variety of choices ensures their needs are met.

Accuracy in order fulfillment is equally critical. Partnering with reliable delivery services ensures that meals are delivered on time and without errors, building a positive and consistent experience.

Incorporating sustainable practices, such as eco-friendly packaging or fuel-efficient delivery methods, aligns with modern customer preferences and demonstrates a commitment to responsible business practices.

Simplified onboarding and checkout 

A user-friendly onboarding means effortless app navigation. The goal is to make both processes quick and frictionless by only requesting necessary information, such as an email, delivery address, and payment options. Offering a guest checkout option is especially useful for first-time users, removing the barrier of mandatory account creation and encouraging immediate completion.

Customers appreciate having various payment options, including credit cards, digital wallets like Apple Pay and even Buy-Now-Pay-Later services. Additionally, integrating local payment methods, such as PayPal, builds trust and reduces hesitancy during checkout. 

Customer reviews: building trust through genuine feedback 

Customer reviews are the modern equivalent of word-of-mouth, influencing the decisions of potential buyers. Displaying positive reviews and testimonials prominently on your platform acts as social proof, encouraging new customers to trust your brand based on the experiences of others.

However, negative reviews shouldn’t be ignored. Addressing them with transparency and professionalism not only resolves customer concerns but also showcases your commitment to improving service quality.

Beyond managing feedback, user-generated content (UGC) like customer-shared photos and videos brings a layer of authenticity to your brand. Additionally, tapping into popular review platforms like Yelp, Google Reviews, and local directories boosts your online visibility and credibility, ensuring your business stands out in the crowded digital landscape.

Building a user-centric online food ordering experiences requires thoughtful planning, design thinking, feature-rich development, and seamless integration. Our design practice also places a strong emphasis on emotional design, creating digital experiences that resonate deeply with users, evoking feelings of joy, trust, and excitement. These human-centric emotional pillars, along with empathy, form the foundation of our product design approach.

At Robosoft, we have gained insights into consumer behaviour in online food ordering after extensive work in the category including a complete UI/UX revamp of McDonald’s web & app (which resulted in 103% increase in orders via the mobile platform), a unique website for ARK Restaurants allowing for reservations for 22 of their outlets across the US and a last-mile delivery platform for food delivery brands in the Middle East, among others.

We are an Experience Engineering company offering a full suite of services in digital product design & development.  We are recognized as a Top Product Design Company, and a Top User Experience Company, and are committed to helping you create a delightful QSR digital platform that enhances that builds customer engagement, loyalty and your bottom line. Delicious, isn’t it?

In today’s fast-paced world, innovation isn’t just a business goal; it’s a necessity. Producing new products, improving existing ones, and creating solutions for future needs make Digital Transformation a requirement in every industry.

What is Digital Transformation?

At Robosoft Technologies, we define digital transformation as “the incorporation and unification of digital technologies into all areas of a business resulting in positive changes in how businesses operate and deliver value.”

We know, we know. That’s a mouthful. But, more importantly, it’s an informative reminder that our current consumer culture demands that businesses constantly challenge the status quo. As Howard King, head of data and analytics at Rufus Leonard, wrote in an article for The Guardian, “Businesses don’t transform by choice. Why would they want that? It is expensive and risky! They transform because they have no alternative.”

Because we understand the necessities and risks surrounding Digital Transformation, we work with our clients to implement change based on the principles of a holistic problem-solving framework — Design Thinking.

What is Design Thinking?

Design Thinking is a creative but practical method for problem-solving that has evolved from fields as varied as engineering, architecture, and business. It helps companies understand the hidden loopholes, not to mention the potholes they have to confront when finding the best answer to a problem. Design Thinking can also measure a project’s success or lack thereof. Within the Design Thinking framework, Robosoft and our clients can challenge the scope of our thought processes and ability to push their boundaries. That’s why Design Thinking is the foundation of our Digital Transformation strategies.

Three significant elements of Design Thinking: Empathy, Iterativeness, and Collaboration.

Although there are several renditions of Design Thinking, we’ve found that Empathy, Iterativeness, and Collaboration seem common to all. Many companies, realizing how important design advances are to profitability, are beginning to invest in Design Thinking initiatives. So, we are now offering our clients a cutting-edge innovation focused on creating new digital products. It’s called RAPID – an acronym for Robosoft Accelerator for Product Innovation in Digital.

Here’s How an Accelerator for Digital Product Innovation Helps Business

Virtually every product category is witnessing a constant and continuous need to keep up with business, technology, and user trends. If that weren’t challenging enough, new features and products could be copied or improved upon by the competition. So, speed is of the essence, along with user-centricity. And the Robosoft Accelerator for Product Innovation in Digital (RAPID) fills this need.

RAPID can accelerate innovation in all three stages of a product’s life cycle: Ideation, Development, and Continuous Improvement.

How RAPID Works in Just Eight Weeks

1. Commencement Phase-

In the Commencement Phase, we lay down the groundwork for the project. This covers initial planning and a discovery process with select business stakeholders that includes:

• agreeing on the product’s intent and vision.
• conducting empathy-based user research
• defining key challenges and pain points
• conducting a competitive analysis and benchmarking

2. Co-creation Phase-

In the Co-creation Phase, the longest part of the process, immersive workshops are held for key business stakeholders, and team members agree to follow a common goal. Together, the team validates requirement features and scope.

3. Consolidation Phase-

In the Consolidation Phase, the team considers UX/UI Design Prototypes. Bringing all of the project’s elements together, they refine them and create a final proposal for the project’s design and development.

Five More Reasons RAPID Makes Business Sense

• It Reduces Risk: Through iterative testing and prototyping, RAPID helps to reduce the risk of investing resources in products or services that may not meet customer needs.
• It Increases Efficiency: Using an iterative Design Thinking process; organizations can identify and address potential issues early on, reducing the need for costly revisions later.
• It Ensures Stakeholder Engagement and Buy-in: By involving stakeholders in the Design Thinking process, companies can better see the complete product development process. It helps all stakeholders to stay on the same page.
• It Enhances Customer Satisfaction: Design Thinking puts the customer at the center of the process, ensuring their needs and preferences are understood and met. This leads to more satisfied customers and higher customer loyalty.
• It offers a Competitive Advantage: Creative problem-solving helps organizations identify new and innovative solutions. When combined with an understanding of user expectations, creative problem-solving provides a competitive advantage to companies by delivering more relevant and compelling products and services.

Strategizing with Design Thinking Greatly Improves Corporate Performance

According to Fortune, businesses incorporating Design Thinking into their corporate strategy may outperform industry rivals by as much as 228%. But to continue this success, cognitive science and user experience expert Don Norman suggests that companies must evolve away from designs that center only on single users to those that focus on solving the community’s needs. Ultimately, this human-centered design will lead to corporate goals that solve global problems while satisfying individuals. And, in this fast-paced digital world, RAPID can lead the way in creating more satisfied customers and profitable companies.