FlowSense.ai
Inspiration
Most digital products rely on analytics and manual QA, but these fail to capture real user experience. Teams often miss friction until users drop off, resulting in lost engagement and conversions.
Problem
- UX issues are detected too late
- Testing is manual, slow, and inconsistent
- Analytics explain what happened, not why
- No system truly simulates a real user journey
Solution
FlowSense.ai is an autonomous AI System that:
- Takes a website URL
- Simulates a real user navigating the product
- Detects friction points across the journey
- Generates a structured UX audit with actionable fixes
How we built it
- Agent Simulation: staged navigation (homepage → key actions → flows)
- Analysis Engine: UX heuristics + AI-style reasoning
- Output System: structured report with score, issues, and suggestions
We compute an overall UX score as:
[ UX\ Score = f(Navigation,\ Clarity,\ Performance,\ Cognitive\ Load,\ Accessibility) ]
Challenges
- Simulating realistic user behavior
- Maintaining speed while ensuring meaningful output
- Keeping results consistent and non-generic
What we learned
- Structured insights outperform complex systems
- UX problems emerge from flows, not isolated screens
- Perceived intelligence increases trust and usability
Impact
FlowSense.ai transforms UX testing into an autonomous, experience-driven process, enabling teams to identify and resolve friction before it impacts users.
