Enhancing Domain Exploration with AI-Domain Mapping

Enhancing Domain Exploration with AI-Domain Mapping

My Role

My Role

Product designer

The Team

Product deisgner

Senior product deisgner

1 PM & founder

3 developers

Key Contributions

Feedback Analysis

Competitive Analysis

Ideation

Design

About Mathlabs

About Mathlabs

Mathlabs is a startup with a Saas desktop platform that enables business research for investment research analysts

In our collaboration led by Erez Raanan (CEO) and Shiri Levin
(Senior Product Designer), we planned, designed, and developed this feature in 3 months, resulting in a faster and greater domain exploration experience.

Mathlabs is a startup with a Saas desktop platform that enables business research for investment research analysts

In our collaboration led by Erez Raanan (CEO) and Shiri Levin
(Senior Product Designer), we planned, designed, and developed this feature in 3 months, resulting in a faster and greater domain exploration experience.

Feature Context

Using the Explore tool chat interface and multiple functions allows analysts to discover new companies, build lists, enhance insights, and gain a comprehensive understanding of a domain.

What are the analysts' pains in domain exploration?

Based on continuous user feedback and customer interviews, we identified two distinct types of analysts using our platform:

🏆 Domain Experts

🏆 Domain Experts

🏆 Domain Experts

🤔 New-in-Domain Analysts

🤔 New-in-Domain Analysts

🤔 New-in-Domain Analysts

Until now, we used AI-generated queries to guide analysts' domain exploration, but the approach had notable limitations.

  1. Repetitive suggestions
    Failed to provide market coverage


  2. Lack of focused queries
    Hard to refine research.


  3. Challenges in tracking progress
    Lack of control over domain exploration.

Suggested questions on chat

This led us to conclude that the issues are lack of confidence and churn of the product.
To refine our understanding of the problem, we framed three key questions:

"How might we improve new-in-domain analysts' coverage within the Explore feature?"

"How might we enhance the depth and thoroughness of domain research?"

"How might we provide analysts with a greater sense of control over the process?"

Probmlem Statement

Probmlem Statement

New-to-a-market analysts using MathLabs face a key challenge: ensuring they achieve comprehensive coverage of an unfamiliar domain. While they can navigate the platform, their lack of deep domain knowledge makes it difficult to know if they've explored all relevant topics, leading to uncertainty about the completeness of their research.

New-to-a-market analysts using MathLabs face a key challenge: ensuring they achieve comprehensive coverage of an unfamiliar domain. While they can navigate the platform, their lack of deep domain knowledge makes it difficult to know if they've explored all relevant topics, leading to uncertainty about the completeness of their research.

New-to-a-market analysts using MathLabs face a key challenge: ensuring they achieve comprehensive coverage of an unfamiliar domain. While they can navigate the platform, their lack of deep domain knowledge makes it difficult to know if they've explored all relevant topics, leading to uncertainty about the completeness of their research.

Exploring Solutions

How does analysts explore domain?

Through user interviews and field research, we discovered that analysts systematically structure and categorize data to gain comprehensive market insights. This led us to develop the concept of visual mind mapping, helping analysts track relationships between sub-domains and ensure complete domain coverage.

Through user interviews and field research, we discovered that analysts systematically structure and categorize data to gain comprehensive market insights. This led us to develop the concept of visual mind mapping, helping analysts track relationships between sub-domains and ensure complete domain coverage.

Through user interviews and field research, we discovered that analysts systematically structure and categorize data to gain comprehensive market insights. This led us to develop the concept of visual mind mapping, helping analysts track relationships between sub-domains and ensure complete domain coverage.

Potential user flow of this feature

Potential user flow of this feature

How our competitors solve it?
And do we know similar experiences?

We took inspiration from whiteboard and canvas products because of their high interactivity and well-known mental models features

We took inspiration from whiteboard and canvas products because of their high interactivity and well-known mental models features

We took inspiration from whiteboard and canvas products because of their high interactivity and well-known mental models features

Logo
Logo
Logo
Logo

Tree structure

Tree structure

Mini map

Mini map

Floting actions bar

Prompt inside bubble

Prompt inside bubble

Prompt to generate map

Prompt to generate map

We selected this concept because it enables:

We selected this concept because it enables:

We selected this concept because it enables:

1

Expanding topics hirerchicly
breaking down domains into clear sub-domains.

2

Intuitive navigation allowing to see relations between topics.

3

Quick new sub-topics discovery
using AI suggestions instead of manual queries.

Tansalating research to design

We created a mind map interface to translate those insights into design, where each node represents a sub-domain in a complete domain

We created a mind map interface to translate those insights into design, where each node represents a sub-domain in a complete domain

We created a mind map interface to translate those insights into design, where each node represents a sub-domain in a complete domain

We started with 2 versions for the sub-domain nodes:

We started with 2 versions for the sub-domain nodes:

We started with 2 versions for the sub-domain nodes:

Pending

Market Architecture

Pending

Market Architecture

Pending

Market Architecture

V1 - Inside actions

Pending

Market Architecture

Pending

Market Architecture

Pending

Market Architecture

V2 - Floating actions bar

Then we designed the moment when the analyst decideds that theyve got enough sub-domains to continue for finding companies stage

Then we designed the moment when the analyst decideds that theyve got enough sub-domains to continue for finding companies stage

Then we designed the moment when the analyst decideds that theyve got enough sub-domains to continue for finding companies stage

Running query flow

Running query flow

Mindmap concept - allowing navigation between sub-domains, leaern more info and expanding sub-domains

Mindmap concept - allowing navigation between sub-domains, leaern more info and expanding sub-domains

Mindmap concept - allowing navigation between sub-domains, leaern more info and expanding sub-domains

Changing concept and improving solution

After testing this concept with a few stakeholders we realized that navigating through this layout becomes cumbersome after a few expansions, leading us to try a different concept.

Main challenges where:

After testing this concept with a few stakeholders we realized that navigating through this layout becomes cumbersome after a few expansions, leading us to try a different concept.

Main challenges where:

After testing this concept with a few stakeholders we realized that navigating through this layout becomes cumbersome after a few expansions, leading us to try a different concept.

Main challenges where:

1

Analysts wanted brief descriptions for each sub-domain in each node

2

Navigation felt cumbersome because of excessive scrolling and dragging of the map

We started with re-designing the nodes. We added an initial state for the first node and adjusted the node cards with descriptions and icons for the nodes' states.

We started with re-designing the nodes. We added an initial state for the first node and adjusted the node cards with descriptions and icons for the nodes' states.

We started with re-designing the nodes. We added an initial state for the first node and adjusted the node cards with descriptions and icons for the nodes' states.

Type name or a description of the field your interested in....

Start Mapping

Type name or a description of the field your interested in....

Start Mapping

Type name or a description of the field your interested in....

Start Mapping

The starting node

Precision Farming Solutions

Companies that leverage data analytics, satellite imagery, and IoT devices to optimize crop yields and resource usage in agriculture.

Precision Farming Solutions

Companies that leverage data analytics, satellite imagery, and IoT devices to optimize crop yields and resource usage in agriculture.

Precision Farming Solutions

Companies that leverage data analytics, satellite imagery, and IoT devices to optimize crop yields and resource usage in agriculture.

Generic node

Following these changes, we had to make a new visual layout that would fit both. This led us to the solution - a dynamic Kanban board, where each column represents a sub-domain, visually guiding the analyst's exploration. Think of it as a series of nested folders, allowing for easy drill-down and a clear visual representation of the domain's structure

Following these changes, we had to make a new visual layout that would fit both. This led us to the solution - a dynamic Kanban board, where each column represents a sub-domain, visually guiding the analyst's exploration. Think of it as a series of nested folders, allowing for easy drill-down and a clear visual representation of the domain's structure

Following these changes, we had to make a new visual layout that would fit both. This led us to the solution - a dynamic Kanban board, where each column represents a sub-domain, visually guiding the analyst's exploration. Think of it as a series of nested folders, allowing for easy drill-down and a clear visual representation of the domain's structure

Kanaban concept - Every column is a drill down in subdomain

Kanaban concept - Every column is a drill down in subdomain

Flexible interaction
Allowing analysts to explore sub-domains, products, or manually input queries.

Flexible interaction
Allowing analysts to explore sub-domains, products, or manually input queries.

Flexible interaction
Allowing analysts to explore sub-domains, products, or manually input queries.

New flow from the beginning

New flow from the beginning

Execute queries
When sufficient coverage is achieved, the users can select relevant sub-domains and execute queries and recieve companies for their investment portfolio.

Execute queries
When sufficient coverage is achieved, the users can select relevant sub-domains and execute queries and recieve companies for their investment portfolio.

Execute queries
When sufficient coverage is achieved, the users can select relevant sub-domains and execute queries and recieve companies for their investment portfolio.

End of the flow - desicion junction

End of the flow - desicion junction

User & Business Impact

Analysts found the new domain map significantly improved their research experience, with one calling it a "game-changer" for clarity and ease of use. This enhanced usability has led to greater confidence in their market exploration and a clearer understanding of their progress. As a result, we anticipate higher platform engagement and stronger user retention, ultimately solidifying MathLabs' value and fostering long-term trust among our user base

Analysts found the new domain map significantly improved their research experience, with one calling it a "game-changer" for clarity and ease of use. This enhanced usability has led to greater confidence in their market exploration and a clearer understanding of their progress. As a result, we anticipate higher platform engagement and stronger user retention, ultimately solidifying MathLabs' value and fostering long-term trust among our user base

Analysts found the new domain map significantly improved their research experience, with one calling it a "game-changer" for clarity and ease of use. This enhanced usability has led to greater confidence in their market exploration and a clearer understanding of their progress. As a result, we anticipate higher platform engagement and stronger user retention, ultimately solidifying MathLabs' value and fostering long-term trust among our user base

The Conclusion

The evolution of the domain map feature underscores the importance of iterative design and user feedback in developing effective research tools. By addressing core challenges, we have created a structured, intuitive process that fosters confidence, efficiency, and comprehensive market coverage for analysts.

The evolution of the domain map feature underscores the importance of iterative design and user feedback in developing effective research tools. By addressing core challenges, we have created a structured, intuitive process that fosters confidence, efficiency, and comprehensive market coverage for analysts.

The evolution of the domain map feature underscores the importance of iterative design and user feedback in developing effective research tools. By addressing core challenges, we have created a structured, intuitive process that fosters confidence, efficiency, and comprehensive market coverage for analysts.

Thanks for watching 🙌🏻

Thanks for watching 🙌🏻

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Continue explore :

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