for sales · closed-lost forensics
Twenty win/loss interviews without sellers begging buyers for a “quick post-mortem call”.
Lacudelph is the interview surface for sales leaders running proper closed-lost forensics. Each buyer who said no walks through the same structured conductor; you get the cohort view of which losses were real (price, time-to-value, integration gap) and which were perceived (rapport, momentum, slide-deck polish) — without your AEs running the awkward calls themselves.
Why win/loss programmes stall
Closed-lost calls are the most-skipped sales hygiene because they’re emotional. Sellers don’t want to hear “you lost on rapport”. Buyers don’t want to relive a pressured procurement cycle. The calls that do happen get filtered through the AE’s frame, and the synthesis lives in Salesforce free-text fields nobody reads. Six months later revops asks why you’re losing 30% of mid-market deals and the only honest answer is “we don’t actually know.”
- AEs avoid loss calls — they’re unpaid emotional labour, and there’s no pipeline credit for the next quarter.
- Buyers don’t take the call because the previous one was a sales process. The mental association is “another pitch.”
- Survey tools (Klue, Crayon, generic NPS-style forms) get the buyer’s polite first answer, not the second-pass framing they’d give a peer over coffee.
- Outsourced win-loss firms charge $20K–$60K per study and turn around a deck six weeks later — too slow for a quarter you’re still in.
How Lacudelph changes it
1
Sales manager writes one brief
Five fields about what the loss reviews need to surface — when the deal turned, what the buyer was actually solving for, what their inside-the-head model of you vs the winner was. Lacudelph generates the conductor + the hypothesis-check structure.
2
Send the link to closed-lost contacts
Slot the URL into your existing closed-lost outreach (CSM-shaped email, not AE-shaped pitch) or send to the buyer’s alternate contacts. The AI conductor walks each one through the same framework — adaptive enough that it actually feels like a conversation, structured enough that you can compare answers.
3
Each buyer gets a thoughtful reflection
At session close the buyer receives their own structured reflection — sections picked from what they actually said: what they named, what they almost said, where their thinking shifted as they talked. Turns “post-mortem” from extractive into something they’d forward to a peer. Higher completion rates because the artifact is theirs.
4
You get the cohort aggregate
Convergent loss reasons, divergent framings, recurring hedges (“four buyers said price; none of them named a number — what does that pattern mean”), and routing recommendations: which segment is losing on what, which messaging gap is the actual lever. Pro tier.
What a closed-lost brief looks like
A worked example for a B2B SaaS reviewing mid-market losses last quarter. Substitute your own pipeline.
- Goal
- Surface the actual moment each deal turned and what the buyer was solving for at that point — not the post-rationalised summary entered into Salesforce. Test where our hypotheses about time-to-value, integration gaps, and exec sponsor mismatch are actually load-bearing.
- Audience
- Decision-makers and economic buyers at the 12 mid-market accounts that closed-lost in the last 90 days. Both stated reason 'price' and stated reason 'no decision' segments.
- Hypotheses to check
- (a) We're losing on time-to-value at the integration step, not on list price; (b) when the eval team includes a peer of an existing customer they’d talked to, win rate is materially higher; (c) the ‘no decision’ segment is actually a different loss — the project got de-prioritised, not the vendor lost.
- What respondents get back
- A reflection tailored to their answer — sections picked from what they actually said: what they were solving for at the moment the deal stalled, what shifted as they talked, and one criterion they’d weight differently if they reopened the search next quarter. Forwardable to a peer, not a sales-process artifact.
Common questions
How is this different from Klue or Crayon's win/loss programmes?
Klue and Crayon focus on competitive intel — what the buyer compared us against, which slides moved them. Lacudelph runs adaptive multi-turn conversations with the buyer about their actual decision: when the deal turned, what they were solving for at that point, and what their inside-the-head model of you vs the winner was. Cohort report distinguishes losses that were real (price, time-to-value, integration gap) from losses that were perceived (rapport, momentum, slide-deck polish).
How do I get a buyer to take the call without an AE chasing them?
The buyer doesn't take a call — they open a link when their calendar permits. The conversation is asynchronous and structured; they get a thoughtful reflection back at the end that they can forward to a peer. The artifact is theirs, which is why response rates hold up where AE-driven post-mortem calls collapse.
What tier do I need for cohort-level loss-cause analysis?
Pro tier ($99/mo) for cohort rounds + cross-cohort aggregation. Free and Solo tiers can run individual interviews; Pro is when you want the cohort report — which losses were structural vs perceived, which segment is losing on what, which messaging gap is the actual lever.
Does the buyer know it's an AI conversation? Will that hurt response rate?
Yes — explicitly. The participant entry page discloses they're talking to an AI research moderator. Empirically the opposite of what sellers expect: candour goes up, not down. Buyers tell a structured AI conductor things they wouldn't tell a sales rep whose comp depends on the answer.
Is the conversation private from the AE who lost the deal?
Hosts (sales managers) see the takeaway and the cohort aggregate. Per-interview transcripts live behind workspace authentication and aren't auto-shared with the AE on the deal. If you want the AE to see the takeaway as a coaching artifact, the host can forward it; the platform doesn't push.
Run your next quarter’s win/loss on Lacudelph
Free tier covers one brief and 5 sessions — enough to pilot a single segment. Cross-deal aggregation lands on Pro at $99/mo. Cheaper than a single hour of an outsourced win-loss firm.