Your team has more feedback than ever and less clarity on what to do with it. OpportunityTree turns scattered signals into a single view of what's broken, what it's costing, and what to fix first.
Tickets said cut prices. Behavior said the price wasn't the problem. OpportunityTree finds what surveys and support tickets alone can't.
“Too expensive” is what users say when they can't justify a purchase they're unsure about. The real issue: too many similar options, no way to compare.
Feedback tools tell you what's loudest. OpportunityTree uses a clustering + causal inference model that maps ticket themes against behavioral event sequences – so instead of a flat list of complaints, you get a causal tree tied to revenue impact. Your team fixes the right thing, once.
Surface the most impactful problems across your product — ranked by evidence, not volume.
Open OpportunityTree and see your top problems in rank order. Click any one to see the evidence behind it, the root causes underneath it, and the revenue it's costing you.
Open the app and immediately see where the evidence points — no assembling, no guessing.
Validate hypotheses before committing engineering time.
Your team thinks you should build search autocomplete. Type it in. OpportunityTree checks the hypothesis against your evidence and tells you whether the data supports it.
A structured, evidence-backed answer in minutes — not a 3-week research project.
Teams typically get from raw feedback to a defensible decision in days, not months.
Zendesk, Intercom, Amplitude, Mixpanel, Hotjar, and more. Qualitative and quantitative data, ingested together. Setup takes minutes.
Our pipeline clusters customer feedback across every source, identifies recurring themes, and maps them to behavioral drivers. Each cluster links back to original evidence with a confidence score. The map updates continuously as new data flows in.
Each opportunity shows root causes, revenue impact, confidence level, and supporting evidence — structured as a decision-ready brief. Your team prioritizes based on what the data actually says, not who argued loudest in the last meeting.
Those tools organize one type of input — feature requests, research notes, or behavioral data. None cross-reference them. OpportunityTree runs a clustering + causal inference pipeline across all sources: ticket themes are grouped by semantic similarity, then mapped against behavioral event sequences to separate symptoms from root causes. The output is a single evidence tree tied to revenue impact, not just a list of themes.
They already do — and it takes 2–3 weeks every quarter. OpportunityTree doesn't replace PM judgment. It gives your team a shared, continuously updated evidence base so PMs spend time deciding, not assembling.
Every finding traces back to specific tickets, user sessions, and data points. Nothing is a black box. Under the hood, we use embedding-based clustering to group ticket themes, then causal inference to map those clusters against behavioral event sequences. The result is a confidence-scored evidence tree, not a summarized opinion. You can click through to the original evidence behind any root cause and judge for yourself.
OpportunityTree continuously monitors your data sources — new clusters, rising trends, emerging problems. Your evidence tree updates as new data flows in, so you're always working from current intelligence, not a stale quarterly analysis.
At minimum: a support tool (Zendesk, Intercom) and a product analytics tool (Amplitude, Mixpanel, PostHog). More sources mean a richer tree. We also ask for your top 3 business goals to anchor prioritization. All data is processed under NDA.
You explore your evidence tree and validate it against what you already know about your product. If it surfaces things you didn't see, we integrate it into your planning workflow. No lock-in, no pressure.
Connect your data. Get clarity. Plan with confidence.