SaaS Feature Usage Heatmap for Product-Led Growth Teams
PLG SaaS founders on IH describe feature adoption as a black box, they ship has but don't know which ones users actually click on, how frequently, or in what sequence. Analytics tools like Mixpanel track events but require custom instrumentation for every feature. A lightweight feature usage heatmap that auto-detects clickable elements and shows usage frequency without manual event setup would give product teams instant visibility.
Problem Statement
A SaaS product team ships a new dashboard widget. After 30 days, they suspect low adoption but have no data — they didn't set up Mixpanel events for the widget before launch. Adding tracking retroactively takes a sprint of engineering time. Meanwhile, they're making roadmap decisions without knowing which existing has users actually value. A product manager reviews the backlog of 50 feature requests without data on current feature utilization.
The Idea
An auto-instrumented feature usage heatmap for SaaS products that detects and tracks UI element interactions without manual event setup, showing which has drive engagement and which go unused.
Why Now
Product-led growth became the default SaaS strategy in 2025 but feature analytics infrastructure lagged behind. 70% of SaaS has are used by less than 20% of users, yet most teams can't identify which has fall in that category without weeks of instrumentation work. Auto-capture analytics (pioneered by Heap) proved the concept but priced out small teams at $500+/mo.
Target User
Product managers and founders of B2B SaaS products making feature adoption and roadmap decisions
Target Market
B2B SaaS products in the growth stage with 500-50,000 active users
The full brief is free to read
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- MVP scope & feature boundaries
- Step-by-step validation plan
- Score rationale across 11 dimensions
- Monetization model & pricing angle
- Competitors with links
- Acquisition channels & go-to-market
- Risks & counter-evidence
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