Real buyer interviews. On every deal. Automatically.
Hindsight's interview agent runs personalized, async conversations with the buyers and reps behind your deals — the depth of a researcher, the scale of a survey.
Traditional win-loss covers fewer than 5% of deals.
Surveys get ignored. Reps never log the truth. So the reasons you win and lose stay locked in a handful of deals and a lot of guesswork.
“Gong tells me how often things come up. Hindsight tells me how the win rate changes when we talk about that topic. The platform lets me structure data on every opportunity that I can then analyze from any angle. It’s been a tremendous unlock.”
Build the guide once. Tailored to every buyer, in real time.
The agent adapts its questions to each buyer's role, deal context, and competitive setup — then asks smart follow-ups based on what they actually say. You get the depth of a researcher, not the dead ends of a static survey.
Paige AI Interviewer
Sam Chen
You mentioned pricing came up during the evaluation. Was that a genuine blocker, or more of a proxy for something else?
That's really useful. When did IT get involved? Was that something your team saw coming?
Would earlier technical validation have changed the outcome?
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Web
Meet
SlackThe people who'd never book a 30-minute call — actually respond.
Async web link, voice call, Google Meet (the agent joins as a participant), or Slack for internal rep debriefs. Low-friction and genuinely pleasant to complete — so response rates clear what a calendar invite ever could.
Primary-source answers, straight from the buyer.
A sales call is the buyer being polite. A post-decision interview is the buyer being honest. Hindsight captures the real reason a deal tipped — from the person who decided it — and feeds it straight into the verified deal record.
Mid-Market Loss — Late Stage
Triggers on mid-market deals lost at proposal or later — sent to the buyer and rep within 48 hours of close.
Invitations sent
64
last 90 days
Responses
19
Response rate
30%
Awaiting
8
sent, not completed
Analysis fields
Aggregated across responses
How avoidable was the loss? (1–5)
3.6
avg of 19
Primary loss driver
Responses
19 completed · click any to see full transcript
Plug every interview into the AI your team already uses.
Connect over MCP to Claude, Cursor, ChatGPT — or your own agents — and ask about every interviewed deal in plain language. Cited answers, no data exports, a fraction of the tokens.
“Why are we losing to Datafold in mid-market? Build me a one-pager.”
The pattern across every loss interview, drafted into the asset.
“Why are we losing late-stage this quarter?”
Themes across every interviewed deal, with buyer evidence.
“How can I help Jordan win more?”
What winning reps do differently, pulled from real interviews.
Point your own agents and internal workflows at the verified record, over MCP or REST.
+Hindsight MCPWhich feature gaps cost us the most in lost mid-market deals this year?
32 closed-lost deals · $808,516 in lost value.
Top feature gaps by impacted revenue
Every figure links back to the source interviews — drafted into a one-pager on request.
One call, not twelve. Your AI asks Hindsight once and gets a grounded, cited answer — instead of crawling raw CRM, calls, and emails on every question.
And it's governed: user-scoped permissions mean no one queries what they shouldn't.
“The interviews are one of our favorite features. They happen in a timely fashion in Slack so reps still remember everything, they tease out useful insights, and they save everyone time.”
Take an interview yourself.
Experience the agent in two minutes — then see what it surfaces across your deals.