Defining Goals

1. Develop the MVP for the Investor Platform

• Build a foundational version of the product that could scale later.
• Create modular components that can evolve into a larger platform.
• Integrate AI functionality to help investors from the start for core user journeys.
• Ensure stability and ease of use for early users and investors.

2. Integrate AI to create dedicated informateive Founders’ Interviews for the Investors

• Auto-select relevant questions based on founder’s background.
• Enable the investor to tailor or add questions with minimal effort.
• Reduce manual effort in interview planning and data collection.
• Use AI to analyze and compare founder responses contextually.

3. Visualize Scores and Benchmarking Effectively

• Create graphs to compare unicorn score, peer score, and Yareta score.
• Represent founder’s performance visually against market standards.
• Enable investors to get insights at a glance through data visualization.
• Store investor notes, summaries, and transcripts for future access.

4. Streamline Investor Workflow Across Touchpoints

• Integrate the chatbot within the investor website seamlessly in order to help with preliminary questions.
• Design summary screens that synthesize interviews and AI results.
• Offer ways to highlight specific responses and notes for context.
• Reduce steps needed to evaluate a founder's potential and fit.

Problem statement

Yareta had a strong concept and access to significant data, but needed help executing an AI-driven founder evaluation platform. Without a clear question flow or frontend integration, investor workflows remained cumbersome, with excessive manual filtering and no effective way to visualize or compare founder performance across different parameters.

Our Approach to designing

Our design strategy prioritised modularity, clarity, and usability for both investors and founders. We also worked in reducing the time taken for setup by the investor.

1. Early Co-Creation with the Client

• Sketched rough flows and structures during collaborative workshops.
• Used brainstorming sessions to clarify interview logic and data output.
• Quickly validated UI ideas before moving to digital wireframes.
• Focused on building consensus early to streamline iterations later.

2. Wireframing and Questionnaire Structuring

• Created a hierarchy of questions tailored to founder profiles.
• Organized question flows based on logic and relevance.
• Used collapsible modules to keep UI clean and focused.
• Designed a simple interface for question selection and editing.

3. Style Cracking with 3D & Cartoon-Inspired Visuals

• Explored playful and approachable aesthetics for the chatbot.
• Designed mascot-driven elements to make interaction a little more approachable.
• Maintained visual consistency while keeping it investor-appropriate.
• Balanced the fun elements with clear functional UX design.

4. Handling Complex User Flows Effectively

• Created summaries for founder profiles with comparison graphs.
• Designed views for transcripts, investor notes, and highlights.
• Built a UX system that could accommodate multiple data points.
• Ensured seamless movement between chat, analysis, and notes.

Our Approach to Development

To create a cohesive and visually compelling experience for Yareta, we designed a streamlined yet comprehensive design system. This included:

• A carefully curated color palette to maintain brand consistency
• Typography guidelines for optimal readability and style
• A robust component library to standardize UI elements
• A collection of images and animations to enhance user engagement

Collaboration & Implementation

To ensure seamless execution, we provided the development team with a detailed walkthrough of the app’s flow, features, and animations. To further improve clarity and collaboration, we built an interactive Figma prototype, allowing the team to experience the user journey firsthand.

By bridging the gap between design and development, this approach enabled a smooth and efficient implementation of the final product.