Your numbers, without the spreadsheet work.
You defend headcount, coach a team, and answer for the technical win rate. Most of that gets assembled by hand the night before the QBR. Opine answers it from live deal data instead.
4.8/5Trusted by high-performing revenue teams
A number you can open beats a number you have to defend.
Every figure in a QBR gets challenged, usually by the person you least want to be guessing in front of. Opine queries its numbers from the deal record itself, so any bar opens into the exact deals behind it, down to the calls that made them stall.
Where Q3 losses stalled
Opine SQLClick any bar to see the deals it counted.
Security review · 8 deals
$1.2MFour more behind this bar. Open any one of them and you land on the deal itself, with the calls and the evaluation record that made it stall.
The four questions you get asked.
Headcount, coaching, the win rate, and the report that's due Monday. Open any one to see how it works.
The team's output, measured
0x
increase in closed-won dollars per SE hour at Gainsight
“Opine is the presales tool for the moment we’re living in. It’s helping us improve POC win rates and shorten sales cycles while making everyone who touches it the most efficient they’ve ever been.”
David Greene, Vice President of Solutions Consulting at Gainsight
The questions leaders ask us first.
Where the numbers come from, how far they can be trusted, and who gets to see them.
Have one we didn’t cover? Bring it to the demo →
utilizationCan I see utilization against a 40-hour week? Who's at 70% and who's at 40%?
You get hours, benchmarked against the team. Total activity hours per SE, with per-person averages and green/red deltas against the team average, which is what most leaders read utilization off against their own capacity target. To be precise: it's an hours view, not a single percent-utilized gauge, and capacity-threshold alerts aren't supported today.
data qualityOur closed-lost reasons in the CRM are junk. Can we trust any of this?
That's the case for it. Win/loss reports are grounded in the deal's actual conversations, evaluation record, and timeline, not the one picklist field a rep filled in at close. The drivers, the quotes, and the stakeholder map all cite the record they came from.
accuracyWill the numbers be right, or is it a model's best guess?
They're database answers. Every widget runs as Opine SQL, a read-only query language scoped to your own data and validated against a catalog of tables and functions. The same question returns the same number, which is the difference from pasting your pipeline into a chatbot.
activity dataWhere do the activity hours come from? Couldn't someone game it by blocking their calendar?
From the calendar integration, categorized automatically. Hours are classified from the meetings themselves as external deal, internal deal, prep, or other, not from self-reported status. Manually logged hours show up as their own labeled category, so automated and self-reported time never blend silently.
permissionsWho gets to see this? We don't want utilization in front of the wrong people.
Manager and admin roles only. The team view is gated to those roles and requires a calendar integration, and per-user CRM visibility applies on top. Individual contributors don't browse each other's utilization.
sharingCan I share a dashboard with just my team, rather than the whole company?
Not yet. Visibility today is private to you or shared with the whole organization, and team-level visibility is planned. In practice leaders keep drafts private and share org-wide the views the team actually runs on.
definitionsWhat counts as a technical win? Is that configurable?
It follows your sales process. Tech-win rate and tech-win-to-close-won rate are computed from your sales-process stage configuration, so you define what reaching a technical win means. A fully custom definition beyond stages, like recording a technical win on a deal lost for budget, isn't supported today, though it's a common request.