Board numbers you can defend, one story everyone tells
Win rate by competitor this year against last, why you win and lose, and where the pipeline sits against the ICP. Every number with its sample size, every claim with its source.
Works in
and any MCP client
Question: Draft the competitive slide for the Q3 board meeting, with n on every rate.
Used Calven MCP
Used Calven MCP| Competitor | This year | Last year |
|---|---|---|
| Northwind | 58% (n=31) | 44% (n=27) |
| Vantage | 41% (n=22) | 52% (n=19) |
| Helios | 67% (n=12) | 63% (n=8) |
Sources: Win/loss dashboard · 46 win/loss interviews · Vantage battle card
What can founders and executives use Calven for?
Board slides, planning pre-reads, investor updates and meeting briefs that start from the approved market view, with the sample behind every number. Calven is the approved context your AI workflows need to scale across the leadership team and still be trusted.
Use cases
Example prompts for board deck
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Draft the competitive slide for the [Q3] board meeting, with n on every rate.
- Draft the win/loss slide for [Q3]: why we win, why we lose, in the buyer's words.
- Draft the ICP and pipeline quality slide for [Q3].
- Answer the questions the board will ask about these slides: [paste the four slides]
- Check last quarter's market slides against what we know now: [paste the slides]
- Have three hostile board members attack my deck slide by slide, and check every claim they question against the evidence.
- Put a confidence range on every win rate in my deck and tell me which quarter-on-quarter moves are just noise.
- Replay last quarter's lost deals with [fix] applied and show the board what it would have recovered, deal by deal.
- What is our competitive win rate this quarter, and the change vs last quarter?
- What are the top three loss reasons this quarter?
Example prompts for market and competitive briefings
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Write the competitive and market briefing for the [last two weeks].
- [Competitor] just [cut prices]. Give me the full read and the deals it touches.
- Explain [trend] and what it means for our plan.
- Forecast [competitor]'s next two moves with probabilities from their track record, plus the early signs that each one is coming.
- Cross the two biggest uncertainties in our market into four scenarios, test our strategy in each and name the no-regret moves.
- Build a scorecard that ranks this month's competitor and market signals by how much of our open pipeline each one puts at risk.
- Which competitor move had the highest severity this month?
- Which trends strengthened this quarter?
- What is the win-rate trend against [competitor]?
- Which competitor went quiet this quarter after a busy year?
Example prompts for annual planning and offsites
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Write the where-we-win-and-lose pre-read for planning, over the [last four quarters].
- Write the market pre-read for the offsite, focused on [market].
- Test these plan assumptions against our deals and calls: [paste the assumptions]
- Draft the questions to put to the room from these pre-reads: [paste the pre-reads]
- Work back from [revenue target] to the pipeline, deals and reps it takes, and show me where the plan comes up short.
- Plot every segment we could chase on a 2x2 of ability to win versus room to grow, then call double down, fix, harvest or drop.
- Run a Delphi round with my execs on the plan's five big assumptions and flag where we agree but the evidence doesn't.
- Which segment had the best win rate this year, and on how many deals?
- Which competitor cost us the most pipeline?
- Which segment grew its pipeline this year but lost win rate?
Example prompts for investor narrative
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Draft the problem, market, customer and product slides for our [Series A] deck.
- Build a competition slide on [our Tier 1 competitors] with real differentiation, not a 2x2.
- Answer these diligence questions from the evidence: [paste the questions]
- Write the competitive and win/loss section of the [September] investor update.
- Write the bear case a skeptical partner would write about us, then show which risks the evidence beats and which it can't.
- Build a bottom-up market size from accounts that fit our ICP and our real deal sizes, instead of a slice of an analyst number.
- Turn every claim in my investor narrative into a prediction and test it against our closed deals before diligence does.
- Which trends does our positioning cite as why now?
- Where do we lose to [competitor], honestly?
- Give me three customer quotes about outcomes.
Example prompts for executive deal support
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Brief me for my meeting with [account] at [2pm]. [Competitor] is in the deal.
- Write my opening talking points for [account], with [personas] in the room.
- Draft the recap of my [account] meeting from my notes: [paste your notes]
- Give me the ten-line version for [account]. I am meeting [contact].
- War-game [deal] against [competitor] in three rounds of move and counter-move before I join the meeting.
- Play [contact] as a skeptical economic buyer, grill me with the questions their persona cares about, and score each answer.
- Design three offers of equal value to us for [deal], each trading on a lever this buyer has shown they care about.
- Where does the [account] deal stand, and who owns it?
- What has [account] told us on calls? Quotes.
- Why do we lose to [competitor], and why do we win?
Example prompts for OKR input
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Propose key results with baselines for these objectives: [paste the objectives]
- Read our [Q3] key results against the dashboards: [paste the key results]
- [Competitive win rate] sat at [58%] all quarter. Tell me why it did not move.
- Tell me which of my key results can move enough on our deal volume to be told apart from noise, and what to use instead.
- Build the driver tree from our revenue goal down to the key results, and rank what one point of each is worth.
- What is our competitive win rate, baseline and prior quarter?
- What is the multi-threading win rate versus single-threaded?
- Which KPI moved most this quarter?
- Which KPI has the smallest sample behind it?
- Which KPI got worse two quarters running?
Example prompts for all-hands and company narrative
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Align our company narrative with the approved positioning: [paste the narrative]
- Build the market segment for the [October] all-hands: a quote, a win, a competitor move.
- Tell the story of the [Kestrel] win in the buyer's words.
- Retell my company story through [audiences] and show which part of the positioning dies first on its way to a customer.
- Turn our approved narrative into a graded rubric with test cases, then score my [careers page, pitch, all-hands] against it.
- What is our one-liner, according to the messaging document?
- Which deals did we win last month, and why, in the buyer's words?
- Does this sentence match our positioning: "[sentence]"?
- Which value pillar do reps quote most on calls, and which least?
- Which claims in our boilerplate are not backed in the claims list?
Example prompts for executive escalations
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Brief me on the escalation from [contact] at [account] about [issue].
- Draft a reply to [contact] about [issue] that does not overclaim: [paste their message]
- Is [issue] at [account] one account or a pattern across the [last two quarters]?
- Lay out my options for the [account] escalation as a decision tree and tell me which has the best expected value.
- Show me how everyone at [account] reads my reply, and what the person who escalated tells their boss afterwards.
- What is [account] worth to us, and when do they renew?
- What has [account] said about [issue] on calls?
- Is [competitor] in any open deal with [account]?
- Who at [account] was on the last three calls, and what did each one say?
- Have other accounts raised the same issue as [account] in the last six months?
Example prompts for senior hiring briefs
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Build the interviewer brief and case questions for our [VP of Sales] search.
- Assemble the pre-read for our [VP of Sales] finalists.
- Score this [VP of Sales] candidate against the evidence: [paste your interview notes]
- Test a finalist's 90-day plan against our deals, buyers and market, and find what it misses.
- Write three synthetic candidates' answers for my panel to score blind, then show who grades too easily and who gets fooled by polish.
- Who are our Tier 1 competitors, and where do we lose to them?
- Which product gaps cost the most deals?
- What trends should a new [role] know about?
- Which loss reason would a new [role] be expected to fix?
- What changed in our market this year that a candidate's research could miss?
Example prompts for M&A and partnership evaluation
Ask any of these in Claude, ChatGPT or any AI tool connected to Calven.
- Give me a first read on [vendor] as a [partner], from the last [12 months] of signals.
- List what our record can't answer about [vendor] before diligence.
- Check [vendor]'s proposal claims against what buyers told us: [paste the claims]
- Score build, partner or buy as a payoff matrix against [competitor]'s most likely responses, and find the move that holds up.
- Run a jobs-to-be-done forces read with our personas on us plus [vendor], and tell me if the bundle beats the parts.
- Why did buyers pick [vendor] over us?
- s product overlap with ours?",
- Which deals had both us and [vendor] in play, and who won?
- Which persona mentions [vendor] most on calls?
- What does [vendor]'s battlecard list as their weaknesses?
No new tool to learn
Calven works where your team already does: in Slack, and in Claude, ChatGPT or any AI tool through Calven MCP. Nobody opens another app to get the approved story.
In Slack
Mention @Calven in a thread or send it a DM. It answers from the approved version, with sources.
Calven
Daniel Brooks9:12 AM
CalvenAgent9:12 AM
Sources: Northwind competitive signal · Open CRM deals · Win/loss, 31 deals vs Northwind
In your AI tool
Add Calven to the AI workflows you already run. Every step reads from the approved version, with sources.
Question: Write the competitive and win/loss section of the September investor update. Start from August's.
Used Calven MCP
Sources: Win/loss dashboard · 14 won interviews · Vantage battle card
What changes when leadership's AI tools read from Calven?
Leaders using AI without a shared source get confident answers built on whatever the last deck said. Connected to Calven, every board page, plan and briefing starts from the same approved market view, with the sample behind each number.
| Pain point | Without Calven | With Calven |
|---|---|---|
| Board prep | The market slide pieced together from sales and marketing the week before the board | The competitive, win/loss and pipeline slides drafted in one prompt, every number sourced |
| Evidence | Win rates quoted without a sample size or a window | Every rate with its n, its window and the deals behind it |
| Narrative | The all-hands, the investor deck and the sales pitch each tell a different story | Every telling starts from the same approved positioning and proof |
| Competitors | Competitor news from whoever happened to see it | Dated competitor moves ranked by severity, with the deals they touch |
| Planning | Next year's bets argued from anecdotes and the loudest voice | The plan's assumptions tested against win/loss, ICP fit and pipeline |
| Exec meetings | Briefed in the car on the way to the prospect | A one-page brief an hour before: the deal, the people, the competitor, what to ask |
Two weeks trial. You'll only need a day.
A day is all it takes to see what the agents can do for you.
You won't go back.
Questions, answered
How does Calven help founders and executives?
It gives leadership the approved market view on demand: win rate by competitor with sample sizes, loss reasons, ICP focus, positioning, competitor moves and trends. Leaders use it for board decks, planning, investor updates and company narrative.
Are Calven's win rates reliable enough for a board deck?
Every rate comes with its sample size and window, and every claim links to the interview, deal or page behind it. If the data is thin, Calven says so instead of filling the gap.
Do we need a product marketer to use Calven?
No. Calven's agents follow established product marketing frameworks, so founders get a defined ICP, positioning and messaging before the first PMM hire. When you hire one, they inherit a working system.
Do founders and executives need to log into Calven?
No. Product marketing runs Calven. Everyone else reaches the same approved context from the AI tool they already use over Calven MCP, or in Slack. Professional and Enterprise include unlimited seats, so each person signs in as themselves.
Which AI tools work with Calven?
Any client that supports remote MCP: Claude, ChatGPT, Cursor, VS Code with GitHub Copilot, Claude Code, Codex and others. Paste https://api.calven.ai/mcp, choose OAuth and sign in.