FeatureSay vs Heap
Heap captures what users do. FeatureSay captures what they say. Behavioral data + feedback data = the complete product intelligence stack.
What is Heap?
Heap is a product analytics platform that automatically captures all user interactions without manual event tracking. It's powerful for retroactive analysis — but like all analytics tools, it captures behavior, not intent, opinion, or feature requests.
When to use each tool
Heap
FeatureSay
Auto-captured user behavior analytics
User-submitted feature requests and feedback
Retroactive analysis (no need to pre-define events)
AI-powered sentiment analysis and theme clustering
Understanding user journeys and conversion paths
Understanding what users wish your product could do
Side-by-side comparison
| Aspect | FeatureSay | Heap |
|---|---|---|
| Primary use case | VoC / feedback | Product analytics |
| Public voting board | Yes | No |
| Auto event capture | No | Yes |
| AI feedback analysis | Yes | No |
| Free plan | 14-day trial | Yes (limited) |
| Starting price | $19/mo | Contact sales |
Frequently asked questions
Which should I get: Heap or FeatureSay?
Both if you can. Heap for behavioral analytics, FeatureSay for customer feedback. If you must choose one early-stage, start with FeatureSay — direct customer feedback is more actionable when you have fewer users.
Can Heap data inform FeatureSay's analysis?
Not natively, but you can use both side by side. Heap might show a feature has low adoption; FeatureSay feedback might explain why customers find it confusing.
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