The most-asked request is rarely the most expensive.
Opine captures every product gap your buyers raise, links it to the deals waiting on it, and prices it in real pipeline. The roadmap conversation starts with a number instead of an anecdote.
Trusted by high-performing revenue teams
Three buyers. One request. Not three tickets.
Your sales engineer has answered this one three times. A call in March, a Slack thread in April, and again last week, each time to a buyer who thought they were the first to ask. Opine checks the deal's own requests, drafts included, then searches every request your org has already filed.
What three buyers said
“We can't put customer data in a US region. That's not a preference, it's our regulator.”
Slack · #deal-northwind
“Where does the data physically live? Our DPO is going to ask, and I need a real answer.”
Call · Technical deep dive
“Is EU hosting on the roadmap anywhere? It decides whether we can go further here.”
Call · Security review
What Opine filed
EU data residency
Searching 412 existing requests…
- Northwind FinancialTechnical eval$540k
- Halden GroupSecurity review$420k
- Verity BankDiscovery$280k
Three buyers. One request. Not three tickets.
Your sales engineer has answered this one three times. A call in March, a Slack thread in April, and again last week, each time to a buyer who thought they were the first to ask. Opine checks the deal's own requests, drafts included, then searches every request your org has already filed.
What three buyers said
“We can't put customer data in a US region. That's not a preference, it's our regulator.”
Slack · #deal-northwind
“Where does the data physically live? Our DPO is going to ask, and I need a real answer.”
Call · Technical deep dive
“Is EU hosting on the roadmap anywhere? It decides whether we can go further here.”
Call · Security review
What Opine filed
EU data residency
Matched REQ-318 again. Third deal on one row.
- Northwind FinancialTechnical eval$540k
- Halden GroupSecurity review$420k
- Verity BankDiscovery$280k
Any model can read a call and notice a feature request. Deduping it against every request your org has already filed, and pricing it against real deals in your CRM, takes a normalized record for every opportunity underneath it.
That layer is the part you don't have to build. The agent on top of it is the easy half.
Two ends of the same record.
One side gets the request filed and into the tracker your product team already lives in. The other prices it against pipeline. Open either to see how it works.
Getting it filed
Capture & Route Requests
Turn customer requests into routed, trackable items your product team sees.
An agent reads calls and Slack for the ask, quotes the buyer verbatim, and checks it against every request already on file. A human approves the draft before anything leaves Opine.
Routes to
LinearPlatform teamTwo-way
JiraPLAT projectTwo-way
Aha!IdeasStatus in
NotionRequests DBOne-way
Status flows back from Jira and Linear both ways, and Aha! feature status syncs into Opine. Notion doesn't write status back yet.
Deciding what gets built
Revenue Impact & Blocker Analysis
Show the revenue riding on each product gap and blocker.
The same request, rolled up with the won, lost, and open pipeline linked to it. Filter by deal size, sales process, product, or any CRM property, and every deal card wears its open blocker count.
Pipeline by priority
Blockers
$1.85M
Important
$875k
Nice to have
$390k
Built for the forecast
A gap that blocks a deal is a forecast problem, not a roadmap opinion.
Every deal in your pipeline view carries its count of open blockers, so the thing standing between a deal and its close is visible where you already look. The numbers underneath come from your CRM, under your CRM's rules.
- Northwind Financial$540kTechnical eval1 blocker
- Meridian Health$180kDiscovery1 request
- Brightline$210kSecurity review1 blocker
- Larkspur Cloud$180kNegotiation
- Halden Group$420kSecurity review1 blocker
Three of these five are waiting on something your roadmap hasn't shipped, and $1.17Mof the slice is riding on it.
What product and revenue leaders ask us first.
Whether the capture can be trusted, where the dollars come from, and what the rollup won't do.
Have one we didn’t cover? Bring it to the demo →
trustHow do we know the agent won't invent feedback nobody actually gave?
Every request quotes the buyer, and a person approves it. Capture pulls the ask verbatim from the call or Slack thread it came from, and the request lands as a draft in a review queue. Nothing is submitted or pushed to your product tools until someone approves it, and the agent run, the approval, and what was routed all sit in the audit log.
dedupeWon't we end up with five tickets for the same feature, worded five ways?
Dedupe runs before anything gets created. The agent checks the deal's existing requests, including drafts still waiting on review, then runs semantic search across your whole request base. The same need in different words gets linked to the request already on file, along with its new deal, so the count of deals behind a gap stays honest.
numbersWhere do the dollar amounts come from, and can people see deals they shouldn't?
From your CRM, under your CRM's own visibility rules. Salesforce and HubSpot deal amounts, normalized across currencies, with per-user CRM visibility enforced, so nobody's rollup includes deals they aren't allowed to see. Requests linked to accounts rather than open deals contribute an estimated value that's shown separately, never silently mixed in.
reportingDoes it show revenue we already lost, or only what's still in play?
Both, side by side. The per-request breakdown splits won, lost, and open dollars with the deal count alongside. So “this gap is tied to $780k still in play and $340k already lost” is one row, not two spreadsheets, and it sorts by total impact and exports to CSV.
attributionIf one gap blocks five deals, how is the revenue attributed?
Each linked deal's full amount rolls into that request. A gap tied to five deals shows all five and their combined value, with the deal count next to it. There's no fractional attribution today: no weighting or multiplier math that splits one blocker's value across the deals it's holding up.
routingCan requests land in different places for bugs, features, and POC asks?
Yes, mapped by request type. Request types, including custom ones you define, map to Linear teams, Jira projects, or Notion databases, and Aha! requests land as ideas in the mapped product. Jira Product Discovery is supported. Jira and Linear stay two-way through webhooks plus a daily reconciliation pass; Notion request status doesn't write back yet.