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est. 3-5 min read

End-to-end

Interaction Design

Design System

Mobile app

LLM Application

Agile

B2B2C

Leadership

Featured • Design handed off

Leading an end-to-end iterative product design journey with Agile

Dynery mobile app enables seamless digital dining experience for independent restaurants and foodies.

A quick message from Dave

Before we dive in

Dynery is an ongoing project that I am actively leading as a Product Designer.


Due to NDA restrictions, I cannot share some of the progress or visuals of this project.


While some features are still under development and cannot be fully disclosed to the public yet, this case study will mainly focus on my journey & thoughts on shaping the product, and key insights that came to my mind along the way.


If you're interested in learning more about this project or join Dynery beta testing, please feel free to reach out to me at dave_cai@icloud.com

Role

Lead Product Designer

I owned the research, design, documentation, and maintenance of the Dynery app & design system's component library, pattern library, and style guide.

Collaborators

Wale Martins - Founder, CEO, Direct Supervisor

MindEx - Backend & AI Service vendor

SPDLoad - Software Developing Engineering Team (Based in 🇺🇦)

Marketing & copywriting Specialists

Timeline

Feb 2024 to July 2024

MVP Release (private beta via invitation only)

July 2024 to Present

Version 1 (Public release)

vNext research, documentation, and feature preparation

Skills

Design System

Information Architecture

Interaction Design

Usability Test

UI Design

Prototyping

Competitor Analysis

AI LLM application

Product Management

Iterative Design

⭐ Contributions & Performance Metrics

Pioneered in developing, updating, and maintaining Dynery Design System's component library, pattern library, and style guide, with 200+ components within 4 months.

Communicating design with developers, product owner, and other stakeholders in a rapid development framework & bi-monthly sprint environment.

Helped company secured $300k+ investment via interactive prototypes, and pitch decks.

Assisted in daily product management via AzureDevOp.

The V1 version of Dynery is a complete redesign of the previous MVP version. It focuses on building the consumer side of the dining experience, making food discovery, content creation, experience sharing, and coordinating group dining easier than ever.

The goal of Dynery is enabling independent restaurants to have a technology partner driving innovation that enables them to compete and thrive in the digital age.

The what

In the U.S. today, 70% of restaurants are independent, non-chain establishments, yet they generate only 30% of total industry revenue. These 400,000 independent restaurants risk losing $72 billion in sales due to high-friction digital transactions and the lack of direct digital relationships with their patrons.


Unlike well-resourced chain restaurants, they struggle to compete in an increasingly digital market, limiting their ability to scale.


However, in today's digital-first world, food lovers expect a seamless, end-to-end personalized dining experience—something independent restaurants are currently ill-equipped to provide.

The why

Discoverability is a major challenge for independent restaurants.


For many diners, when given the choice, research shows many food lovers prefer to support local businesses for their unique flavors and community impact. Yet, discovering independent restaurants isn’t always easy.


Without a strong digital presence, independent spots often get overshadowed by familiar chains that offer convenience, quality consistency, and loyalty perks with their dedicated mobile apps.


Without strong digital visibility and direct customer relationships, small restaurants struggle to compete. To level the playing field, they need a seamless, low-friction digital experience that enhances discoverability and fosters customer loyalty.

Consumers go through multiple apps to discover and patron independent restaurants. For chain restaurants, it’s much easier with 1-stop proprietary apps.

The how

Dynery app bridges the gap between local restaurants and their potential patrons through a seamless, direct digital dining platform, increasing mindshare and patronage.

An app, by foodies, for foodies

For customers, Dynery makes discovering great local restaurants effortless by curating dining experiences tailored to individual tastes. Instead of reading mixed reviews, food lovers can explore independent spots that match their preferences.


With the direct digital connections between customers and local restaurants, Dynery personalizes recommendations, streamlines the difficulties of organizing group dining events, and enhances the overall dining journey—all in one seamless platform.

A digital storefront for independent restaurants to enable seamless digital experiences

For independent restaurants, Dynery enables independent restaurants to have a technology partner driving innovation that enables them to compete and thrive in the digital age.


Dynery offers frictionless transactions and cost-effective marketing, aiming to increase the growth, retention, and optimize operational efficiency.

Target users

  • Diners with dietary restrictions or specific preferences who need tailored recommendations that match their needs.

  • Food enthusiasts looking to discover and connect with like-minded individuals who share their tastes.

  • Groups and social diners who frequently eat out together and need seamless coordination for their dining experiences.

  • Independent food & beverage businesses seeking direct engagement with both new and returning customers.

  • Indecisive foodies who struggle to choose a restaurant, endlessly switching between platforms and sifting through conflicting online reviews.

By investigating real user’s day-to-day activities through interviews and shadowing, we uncover the key painpoints of our target users.

Unreliable Recommendations from the Wrong People

“There are some people I know for sure that I would not ask for food rec from them”

Diners often receive food recommendations from sources they don’t trust or whose tastes don’t align with theirs, making it harder to find restaurants that truly match their preferences.

Fragmented & Overwhelming Experience

“When we do our monthly girls-night-out, we literally spent hours on when and where we should go. On at least 5 apps just to find a place and make reservation…”

Coordinating dining with a group usually requires switching between multiple platforms making the process frustratingly complex and inefficient.

Confusing and Conflicting Reviews

“Some says it’s (the restaurant) is really good, some says it’s really bad, I don’t even know which one to believe”

Diners struggle with unreliable and inconsistent online reviews, making it difficult to trust recommendations and confidently choose a restaurant.

Limited Support for Dietary Restrictions

“I have a special dietary restriction that most food app just won’t cater my needs”

Most food apps fail to provide tailored recommendations for diners with dietary restrictions, making it difficult to find restaurants that accommodate their specific needs.

Struggling to Compete with Chains

“I’m looking for them (customers), and I know they are looking for place like mine, but it’s hard for me to reach out and connect with them directly”

Independent restaurants lack the digital presence to compete with well-known chains that dominate search results and loyalty programs. Without strong discoverability, even great local spots remain overlooked.

Weak Customer Retention Without Direct Engagement

“We see new customers all the time, but without a way to stay connected, they rarely come back. I wish we can provide more variety of rewards to encourage them come here more regularly ”

Unlike big chains with data-driven loyalty programs, independent restaurants struggle to retain customers beyond a single visit. Only a few places provides customer rewards in analog form (such as puncture card)

Unsustainable Third-Party Platform Premium

“For the high premium they (the platform) charged us, they only take care of fulfilling the orders, but as owners I would like to engage more with my customers more than just a star rating”

Many independent restaurants rely on third-party platforms for online orders and reservations, but high commission fees & lack of additional analysis make it unsustainable to scale.

Disjointed & Inefficient Digital Operations

“We need to sign up multiple platforms and pay each one to only do the bare minimum of stuff, reservation, takeout & delivery, online menu, digital payment, and who knows what else will becoming an ‘essential’ for restaurant next”

Restaurant owners juggle multiple platforms for reservations, menus, marketing, and payments, making operations inefficient and frustrating.

🍽️

By utilizing the feedback collected, design thinking, and communication skills, I applied the first principles to craft a solution from raw Ingredients to a gourmet experience.

additional Context

Where did I jump in

I joined the Dynery product team in when the MVP beta version of the app is designed and developed, and being tested by invited beta users in Feb 2024.


The MVP beta version supports Dynery’s basic key features such as list, chat, and dining profile, and it mostly reutilizes lightly modified stock Material Design components that construct the interface.


Soon, after weeks of collecting user feedbacks, aligning product long-term strategy with stakeholders, and assisting in drafting the product roadmap, I started to work on optimizing interaction flow for hero features, redesigning a native UI (user interface), with additional new key features supported, optimizing for product’s global launch compatibility, and conceptualizing the embedded design for features coming to vNext (future releases).


The V1 release of Dynery mainly focused on building the consumer (foodie) side experience of of bilateral relationship.

IDENTIFY A STARTING POINT

The Design Question

How might we streeamline the experience for foodies to find new place to dine easier that fits their tastes without overflow with information?

ideation process

An Iterative Process of Getting a Better Solution for Foodies

List of artifacts being used in designing Dyney app

Personas

Interaction Flows

User Journey Maps

Information Architecture

Sketches

Rapid Mid-fidelity Prototypes

Co-Design Sessions

How did I create effective personas to identify painpoints better?

P.S. it might be different than what textbook told you to do

Rather than relying on traditional demographic attributes often found in conventional user personas, we prioritized users' actual behaviors and underlying motivations.


Our personas are not hypothetical; they are derived from real users identified through company-led research and MVP testing. By distilling common patterns among these users, we ensured that our design solutions align closely with their behaviors and needs.

persona 1 - Customer side

Kendra - The Explorative Foodie with Specific Dietary Requirements

Kendra loves discovering the dining scenes in her city and she travels frequently.


Kendra lives a gluten-free dining lifestyle. Therefore, Kendra often uses more than 5 apps for discovering, deciding, arranging, dining and sharing her experience.


Kendra often finds unreliable recommendations on apps like Yelp or Google Map, so she barely use them anymore but asking her friends who she knows they have similar tastes.

persona 2 - business side

Olivia - The Local Cafe Owner Struggles to Get Customers Attention

Olivia owns a independent coffee shop at Seattle. Olivia wants to reach out to her potential customers more easily. Olivia is tired of spent tons of time and energy posting on different platforms, but getting very few in return.


Olivia wishes she can have an app for for her new and returning customers to know what’s new, promote, and reward them, like the Starbucks or McDonal’s app, but she neither have the budget nor technical background to create her own website/app that satisfy her needs.

INTERACTION FLOW

How do we make the interaction intuitive, effective & seamless?

By following “the first principle” here’s how I utilize this concept ro build scenario-based interaction flows in my design process.

Idnetifying, Focusing on the Real Goal, Not Just Tasks

A critical first step was to identify the user’s fundamental objective rather than optimizing for superficial milestones. Overemphasis on short-term transactional goals (like "completing a reservation") risks creating unnecessary friction that ultimately distracts from the user’s true need: "Discovering an ideal restaurant and enjoying a memorable dining experience."

Avoiding Solution Bias

We consciously resisted jumping directly to digital solutions when we are drafting the interaction flows. By mapping the baseline interaction flow—how users would naturally achieve their goal without any product intervention—we identified painpoints that revealed authentic opportunities.


This process urged to:

  • Challenge our existing assumptions about "user needs"

  • Distinguish between actual problems and invented requirements

Human-Centered Problem Solving

Even though our final deliverable was a mobile app, we intentionally explored non-digital interventions during ideation.


This approach leverages humans’ innate ability to combine tools and behaviors to solve problems, ensuring our digital solution is complemented, rather than complicated,real-world user journeys.

Collaborative Clarity

Visualizing the complete interaction flow charts created shared understanding across the team. It transformed abstract discussions about "features" into concrete conversations about how each design decision either supported or obstructed the user’s ultimate objective.

iNFORMATION ARCHITECTURE (ia)

How did I inform other stakeholders in team about the upcoming design?

After drafting the interaction flows for the next Dynery release, I shifted my focus to defining the Information Architecture (IA) for each key feature. The IA served as a foundational blueprint, enabling Product Managers and Engineers to preview the feature scope and allocate development resources more efficiently.


The IA became one of the most valuable assets in the design process, providing additional clarity and alignment before diving into actual UI design.


Throughout the project, the team continuously referenced it to guide the creation of design system, prototyping, validation, iteration, and user testing, ensuring a structured and efficient workflow.

User journey map

How does an ideal experience of our solution looks like?

I created a series of user journey map to help myself and other stakeholders in team to preview the end-to-end experience looks like before and after applying our solution with a real world scenario that a research participant described.


The user journey maps includes user’s every key interaction touchpoint when they are trying to accomplish their objectives, and furthermore helped me identified major painpoints such as decision fatigue, fragmented digital interactions, and lack of personalized recommendations. This process helped align design decisions with real user behaviors, ensuring that we deliver a seamless, intuitive, and personalized dining experience that caters to both diners and independent restaurants.

Let’s Start with Some Numbers

4.9 ⭐

App Store rating

250+

Total user acquired in 3-month at Seattle

by invitation-only

$300,000+

Fund raised in 6-months

What our test users say about Dynery

“This totally makes dining out a breeze! The personalized matching is always spot on and the end-to-end flow is super convenient and fun.

- “Kendra”, a foodie based in Seattle goes Gluten-free

“When Dynery is coming to London? I literally need it for every city I will be traveling to ”

- “Ashley”, a London based food lover who travels frequently

How did I Test the Design Before Shipping?

Before handing off the designs to devs, we conducted a two-step validation process to ensure our solutions were not only user-friendly but also technically feasible.

Early Feasibility Review with Developers

To avoid last-minute implementation roadblocks, I collaborated closely with engineers and PMs by submitting the high-fidelity interactive prototype, design doc, and feature specs for early evaluation. This allowed the dev team to flag any high-complexity designs upfront, helping us refine interactions before committing to development.


This proactive approach saved engineering time and ensured we stayed on track with our release timeline.

Usability Testing with Real Users

To validate our assumptions, we recruited users with varying levels of digital literacy and conducted scenario-based usability tests. We observed how users naturally navigated through the interactive prototype without guidance, using think-aloud protocols to capture their real-time thoughts.


One key insight we uncovered was that users struggled to locate a key action button because its placement was too subtle. While I initially designed it for a clean, minimal interface, testing revealed that clarity outweighed aesthetic simplicity in this context. As a result, I adjusted the button size, contrast, and placement, leading to a 40% faster task completion rate in follow-up tests.


By taking an iterative, data-driven approach, we refined critical usability issues before launch, ensuring a smoother experience for our users without adding unnecessary development overhead.

DATA-DRIVEN ITERATION

How did I Iterate on the Feedback

I prioritized data-driven iteration by leveraging insights from user testing and real-world usage data.


After each testing round, I synthesized qualitative and quantitative feedback to identify friction points, usability gaps, and unmet user needs.


For example, if testing revealed that users struggled with finding a way to proceed, I would analyze session recordings, task completion rates, and qualitative feedback to pinpoint the cause.


Instead of relying solely on assumptions, I worked closely with the PM and engineers to prioritize refinements that had the highest impact on user experience with the lowest cost of implementation.


This iterative approach ensured that our design decisions were always validated by real user behavior, allowing us to refine the product efficiently while maintaining a balance between user needs and development feasibility.

Hi there!

If you've scrolled all the way down here, first I want to say: thank you!

To me, this case study isn't just about presenting a perfectly packaged final product in a gift box.

What I truly want to document and share are those raw challenges and insights from my first year leading Dynery's design - the real journey of a designer steering a product toward its public launch.

Strategic Pivots & Validation Through Competition

The Start-up Dillema, Competing with the Giants

Dynery Insight, a feature powered by large language models, was positioned as one of our flagship features. But technical complexities and development costs forced us to make an agonizing decision: postponing this cornerstone capability to our next major release. This wasn’t just about resource allocation; we were acutely aware that tech giants such as Google was charging full-speed toward similar AI integrations in its mapping services.


The competitive landscape intensified rapidly. In Fall 2024, Google Maps adopted a cyan color scheme strikingly similar to Dynery’s brand palette – then doubled down by embedding Gemini AI-generated restaurant summaries. By January 2025, their beta launched AI-powered conversational search. While these features superficially mirrored our roadmap. That being said, we still recognize our unique advantage compare to a general map app.

When Apple unveiled its native-designed Invites in February 2025, I experienced equal parts validation and anxiety. Our interface explorations showed uncanny parallels with Apple’s design language, despite working in complete isolation.


This "design telepathy" confirmed we were tracking industry currents, but also highlighted our David-vs-Goliath reality.

Here’s what keeps us fighting: While tech titans can deploy armies of engineers overnight, our nimbleness and vertical focus let us perfect what they can’t: deeply understanding independent restaurant owners and their clientele. Every pixel we design serves their specific operational rhythms and customer engagement nuances.

Google Maps - 2024 Q4 brand color shift, Old vs. New

Image source: 9to5google

2025 Q1 - Google Maps AI Integration

Image source: 9to5google

2025 Q1 - Apple Invites

Image source: Apple

When Product Priorities Collide with UX Vision

How We Navigated Competing Agendas Without Compromising Core Principles

As designers, we strive to create inclusive, user-friendly experiences that cater to diverse needs.
However, in real-world product development, we must also balance user needs with feasibility, scalability, and development resources.

A Recurring Debate

Should we optimize the experience that may only serve a small subset of users?


One example was a discussion I had with the Product Manager regarding whether to include a supportive button or contextual text in certain UI screens. I believed that adding these elements would enhance usability for some users, preventing confusion and improving accessibility. The Product Manager, however, took a more holistic view, arguing that:


This feature would likely serve only a very small fraction of users.

Not having it would not have a detrimental effect on overall UX.

Adding it across the product would increase development time considerably.

Keeping the UI lean aligns with the principle of simplicity—less is more.


Both perspectives were valid. While I didn’t want minority user needs to be ignored, the PM had to consider the overall efficiency of product development.

How I Resolved the Debate

Instead of making an immediate call, we aligned on a pragmatic approach:

If the absence of this feature does not create a destructive user experience failure, we would hold off on implementing it.
If post-launch user feedback strongly indicates a need, we could iterate and add it in future updates.
This prevented premature feature creep, ensuring that we only built what users truly needed, rather than what we assumed they needed.

This experience reinforced that design is never static, it’s an ongoing, iterative process.

Instead of trying to design for everyone upfront, the best approach is to listen, launch, learn, and adapt. By designing with scalability in mind, we ensure that the product evolves based on real user demand, rather than hypothetical assumptions.

Real-world challenges

This Ain’t Like Any School Project

When I graduated from UW’s Human Centered Design & Engineering master’s program in June 2024, I thought my experience leading student projects and corporate design teams had prepared me for anything. But stepping into a startup leadership role taught me a harsh truth: nothing in academia simulates the crucible of real-world product ownership.

The Weight of Ownership

Previously, whether as a Staff Product Designer, a design intern, or the sole designer on a student project, I could always escalate difficult product or design decisions to a manager, mentor, or instructor for guidance. However, during my time at Dynery, I was the final decision-maker responsible for ensuring the quality and viability of the user experience.

This shift in accountability led to intense debates with product managers, especially over fine details that directly impacted the user experience. When disagreements arose, the best way to back up my design rationale was always through user testing and data-driven insights. At times, I also had to step back, give myself space to reflect, and avoid falling into self-confirmation bias—a challenge that every designer faces when deeply invested in their work.

In short, below is what I learned:

Data as the Ultimate Arbiter



When disagreements reached impasses (and they did), user testing metrics became our shared language

The Art of Strategic Retreat



Learning to pause heated discussions, revisit designs after mental resets, and audit my own confirmation bias

Embracing “Good Enough” for the moment



Shipping imperfect-but-functional solutions when engineering constraints demanded compromise

Dancing with Constraints

Unlike at well-funded companies, where resources are more flexible, working at a startup in the midst of fundraising meant that every dollar spent had to be carefully justified. As a designer, this translated into high expectations for clarity—any miscommunication or ambiguity in my designs could result in wasted development efforts, costing thousands in resources.

Every pixel carried cost implications in our bootstrapped environment. Therefore I adopt a forward-thinking approach to design:

Ensuring reusability by leveraging scalable design assets
Prioritizing compatibility with existing design systems and components
Involving engineers early in the design process to identify potential development bottlenecks before committing to complex, resource-heavy solutions, like having developers gut-checked designs before pixel perfection

By embedding engineering collaboration from the start, we were able to streamline feasibility assessments and avoid unnecessary development costs—a crucial factor in a resource-constrained startup environment.

Nope, I don't have a final answer

"If I claimed to have mastered these challenges, I’d be lying."


This past year has been one of the most challenging yet rewarding experiences of my career. It reinforced not only my design expertise but also my ability to think strategically, collaborate cross-functionally, and make high-stakes decisions with confidence. I am honored to be a part of this journey.

If you are helping your team get through the similar problem , I’d love to bring a cup of coffee and chat with you .

made in Seattle with ❤️