InsideTracker
Conversational AI Health Coach
From Static Insights to an Ongoing Health Companion
Project Overview
A 0→1 project designing InsideTracker’s first conversational AI- transforming InsideTracker from a one-time checkup into an ongoing, personalized health companion-
helping users understand their data, build trust, and take confident action over time
🧑💻 Role & Scope
Lead product Designer
Mobile & Web
2024- 2025
Product | Engineering | Science | Marketing
Three phase evolution
Lead product Designer
Mobile & Web
2024- 2025
Product | Engineering | Science | Marketing
Three phase evolution
⚠️ Problem
68% of users returned less than once per month after viewing initial results.
The health recommendations (core experience) are valuable, but static and not guided, leading to low engagement.
68% of users returned less than once per month after viewing initial results.
The health recommendations (core experience) are valuable, but static and not guided, leading to low engagement.
🚀 Impact
⬆️
41%
Return rate
⬆️
34%
Retention rate
⬆️
28%
Adherence rate
🚀 Impact
⬆️
41%
Return rate
⬆️
34%
Retention rate
⬆️
28%
Adherence rate
About InsideTracker
InsideTracker is a personalized nutrition platform that provides health insights based on blood, physiological, and genetic data.
Current experience
The core of the InsideTracker experience is a blood results analysis and an Action plan with a list of tailored recommendations for user on how to improve their health.
However: engagement analysis showed that 68% of users returned less than once per month after viewing their initial results, often feeling overwhelmed and unsure what to do next.
Blood results page
Action plan page
My role
I led the end-to-end design; working closely with Product, Engineering, Science and XX teams- to define the vision, interaction model, and user experience across mobile and web. I owned discovery, conversation design, UX patterns, prototyping, and iteration through launch.
Grounding the problem with user data
79%
Felt Overwhelm &
Confused
65%
Want dynamic & personal experience
81.5%
Want a guided health journey plan
Want a guided
health journey
Solution: a conversational AI that evolves over time.
01
Phase 1: foundational AI
02
Phase 2: adding personalization
03
Phase 3: always-on coach (still work in progress)
Phase 1: building the Foundation
Phase 1 focused on introducing InsideTracker’s AI experience for the first time. The goal was to keep it simple, trustworthy, and easy to use- reduce overwhelm and validate interest.
Results of phase 1
34% engagement : measured in first month after launch
3.9/5 satisfaction : measured via an in-product 1 question survey
User feedback validated the value of the new AI experience and enabled the team to move forward with deeper personalization in Phase 2 and beyond.
Phase 2: adding personalization
Phase 2 focused on evolving the AI from a simple conversational assistant into a personalized guidance engine. The goal was to deliver answers grounded in the user’s actual biomarker data, habits, and recent activity.
Results of phase 2
41% returned : users return rate within 7 days increased (up from a 19% baseline)
34% retention : users stick around longer
28% adherence : More users follow the health recommendations
Increased trust based on user research
Phase 1: Building the Foundation
Phase 1 focused on introducing InsideTracker’s AI experience for the first time. The goal was to keep it simple, trustworthy, and easy to use- reduce overwhelm and validate interest.
Results of phase 1
34% engagement : measured in first month aster launch
3.9/5 satisfaction : measured via an in-product 1 question survey
User feedback validated the value of the new AI experience and enabled the team to move forward with deeper personalization in Phase 2 and beyond.
Phase 3: always-on coach (in-progress)
AI evolved from a chat tool into Terra - a proactive, floating companion accessible from every screen. Terra opens as an overlay so users can minimize it, continue exploring their results, and return exactly where they left off.
Note: This is part of a larger AI-Native Product Transformation initiative I'm currently leading.
Case study with wireframes is coming soon
Project outcome
41%
Increase in Return (within 7 days)
34%
Increase in Retention
28%
Increase in Adherence
41%
Increase in Return (within 7 days)
34%
Increase in Retention
28%
Increase in Adherence
Conversational AI Health Coach
From Static Insights to an Ongoing Health Companion
InsideTracker
⚠️ Problem
68% of users returned less than once per month after viewing initial results.
The health recommendations (core experience) are valuable, but static and not guided, leading to low engagement.
🧑💻 Role & Scope
Lead product Designer
Mobile & Web
2024- 2025
Product | Engineering |
Science | Marketing
🚀 Impact
⬆️
41%
Return
⬆️
34%
Retention
⬆️
28%
Adherence
Project Overview
A 0→1 project designing InsideTracker’s first conversational AI-
transforming InsideTracker from a one-time checkup into an ongoing, personalized health companion-
helping users understand their data, build trust, and take confident action over time
About InsideTracker
InsideTracker is a personalized nutrition platform that provides health insights based on blood, physiological, and genetic data.
Current experience
The core of the InsideTracker experience is a blood results analysis and an Action plan with a list of tailored recommendations for user on how to improve their health.
However: engagement analysis showed that 68% of users returned less than once per month after viewing their initial results, often feeling overwhelmed and unsure what to do next.
My role
I led the end-to-end design; working closely with Product, Engineering, Science and XX teams- to define the vision, interaction model, and user experience across mobile and web. I owned discovery, conversation design, UX patterns, prototyping, and iteration through launch.
Solution: a conversational AI that evolves over time.
01
Phase 1: Foundational AI
02
Phase 2: Adding personalization
03
Phase 3: Always-On Coach (still work in progress)
Phase 1: Building the Foundation
Phase 1 focused on introducing InsideTracker’s AI experience for the first time. The goal was to keep it simple, trustworthy, and easy to use- reduce overwhelm and validate interest.
Phase 3: always-On Coach (In Progress)
AI evolved from a chat tool into Terra - a proactive, floating companion accessible from every screen. Terra opens as an overlay so users can minimize it, continue exploring their results, and return exactly where they left off.
Note: This is part of a larger AI-Native Product Transformation initiative I'm currently leading.
Case study with wireframes is coming soon
Phase 2: adding personalization
Phase 2 focused on evolving the AI from a simple conversational assistant into a personalized guidance engine. The goal was to deliver answers grounded in the user’s actual biomarker data, habits, and recent activity.
Project outcome
41%
Increase in Return (within 7 days)
34%
Increase in Retention
28%
Increase in Adherence
What data should
79%
Of users felt
Overwhelm & Confused
65%
Of users wanted more dynamic & personal experience.
81.5%
Of users wanted more guided health journey plan.
Crafted with creativity, late-night iterations, Ctrl+Z reflexes, and a carefully curated playlist.
© Chen Segal 2025
Crafted with creativity, late-night iterations, Ctrl+Z reflexes, and a carefully curated playlist.
© Chen Segal 2025
Crafted with creativity, late-night iterations, Ctrl+Z reflexes, and a carefully curated playlist.
© Chen Segal 2025