Know what to build — backed by evidence, not gut feel.
Runstream ingests customer signals from every source your team already uses, clusters them into themes, and surfaces validated opportunities scored by impact, confidence, and technical difficulty. So you build what actually matters.
Product decisions shouldn't depend on who was loudest last week.
Without Runstream
Customer feedback is scattered across Zendesk, Intercom, Gong, Slack, surveys, and your PM's memory. Synthesis is manual and biased by recency. Prioritization is theater — gut feel dressed as data. The output is a PRD that loses context the moment it leaves the doc.
With Runstream Discovery
Every signal is captured, classified, and clustered automatically. Themes emerge with strength scores based on source diversity, volume, and recency. Opportunities are validated against your actual product data and codebase complexity. You prioritize with evidence, not instinct.
How Discovery Works
Connect Your Signal Sources
Runstream connects to the tools your team already uses. No manual export. No copy-pasting.
- •Customer Support: Zendesk, Intercom, Freshdesk, HubSpot
- •Voice of Customer: Gong, Chorus, Typeform, Delighted
- •Product Analytics: Mixpanel, Amplitude, PostHog, Heap
- •Internal: Slack channels, Notion, Linear feature requests
- •Manual uploads: Interview transcripts, survey CSVs
AI Processes and Classifies Signals
Every incoming signal is automatically processed and classified by type, entities extracted, and strength scored.
- •Classified by type: feature request, bug, usability, churn risk, praise
- •Entities extracted: affected features, user segments, pain points
- •Strength scored: based on volume, source diversity, recency, sentiment
“The onboarding flow is confusing...”
Intercom • 2h ago
Themes Emerge Automatically
Runstream clusters related signals into themes — patterns that represent real user needs, not just noise.
- •Signal count and source breakdown
- •Strength score with trend (rising, stable, declining)
- •Sample quotes from real customers
- •Affected user segments
Validate with Triangulated Intelligence
For each opportunity, Runstream answers three questions with evidence from multiple dimensions.
- •"Is this real?" — How many customers mentioned it, from how many sources?
- •"How big?" — What does your actual product data show?
- •"How hard?" — What does the codebase say about complexity?
From Opportunity to Feature Definition
When you approve an opportunity, Runstream generates a feature definition that carries everything forward.
- •Problem context from original customer evidence
- •Proposed solution direction (refined with you)
- •Success criteria with measurable outcomes
- •Technical implications from codebase analysis
Feature definition with customer evidence, success criteria, and constraints attached.
Beyond feedback tools. Beyond roadmapping tools.
A connected intelligence layer.
| What you get | Dovetail | Productboard | Runstream |
|---|---|---|---|
| Interview & feedback analysis | partial | ||
| Multi-source signal ingestion | limited | limited | |
| Automatic theme clustering | |||
| Quantitative data validation | |||
| Codebase complexity scoring | |||
| Triangulated confidence scoring | |||
| Direct flow into execution |
Other tools stop at insights. Runstream flows directly into planning and execution — so the “why” never gets lost.
Two Modes of Operation
You Ask — AI Investigates
Come in with a goal: "We want to improve onboarding conversion." Runstream gathers every relevant signal, shows you the data, and surfaces the themes worth exploring. You drive. AI does the legwork.