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The deal autopsy kit

The autopsy that finds deal rot before the review

Fifty prompts for inspecting live deals the way a skeptic would: evidence on the record, risk flagged with reasons, next moves prescribed, and post-mortems that change the next deal.

Price
$19.99 one-time
Prompts
50 — complete list below
Format
PDF
Delivery
Instant download, plus a link in your receipt email
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None required — guest checkout
Ownership
Download once. Yours forever.
Terms
All sales final — inspect the full contents and complete samples first

Reviewed weekly, inspected never

You reach for this pack before the pipeline meeting — yours or your team's — and any time a deal feels fine without your being able to say why. Deal reviews are supposed to be inspections. Most are recitals: stage, date, next step, next deal.

The hard part is asking the questions nobody in the room wants answered. Is the compelling event real or hopeful? Does the timeline survive contact with their buying process? Who, specifically, signs? Reps protect their deals, managers run out of time, and the CRM nods along.

This pack plays the inspector. It gets the evidence on the record, stress-tests the deal against it, prescribes the next move, and runs the post-mortem when it's over — so the same rot doesn't grow twice.

Most deals get reviewed every week and inspected never.

Read 4 of the 50, in full

These are complete prompts from the pack, exactly as delivered — not excerpts. Judge the craft before you pay; the other 46 follow the same standard.

Fast, common taskSample 1 of 4

Flag At-Risk Pipeline Deals With Risk Ratings

Sixty seconds from pasted pipeline to a risk-rated deal list.

Read the full prompt
You are a Revenue Operations specialist. Review the following deal data from Salesforce and assess risk for each opportunity:
For each deal, evaluate:
● Days since last activity
● Stage vs close date alignment (is the timeline realistic?)
● Missing next steps or champion contact
● Any mismatch between deal size and engagement level
Output a risk rating (High / Medium / Low) for each deal with a one-line reason and a recommended action.
[PASTE DEAL DATA HERE]
You supply

Deal data from your CRM: stage, close date, last activity, size, next steps.

Built into the prompt

Judges each deal on activity recency, stage-versus-close-date realism, missing next steps, and mismatch between deal size and engagement.

What comes back

A High, Medium, or Low rating for every deal, each with a one-line reason.

High-value taskSample 2 of 4

Stress-test your own deal before the review

The pack's thesis in one prompt: find what's wrong before your manager does.

Read the full prompt
I want to inspect my own deal hard and find what's wrong with it before my manager does in a deal review — or before it slips. Be the skeptical inspector I need, not a cheerleader.

The deal:
- The opportunity: [ACCOUNT, SIZE, PRODUCT, STAGE, EXPECTED CLOSE]
- What I know about the buying side: [CHAMPION, ECONOMIC BUYER, OTHER STAKEHOLDERS, THEIR PROCESS]
- The compelling event / why now: [WHAT'S DRIVING URGENCY — or my honest admission there isn't one]
- Where I think it stands: [MY READ]
- What I'm relying on: [THE ASSUMPTIONS HOLDING THIS DEAL TOGETHER]

Inspect it ruthlessly:

The risk scan — go through the deal's vital signs and flag what's weak or missing: do I have a real economic buyer or just a champion? Is the champion actually powerful or just friendly? Is there a genuine compelling event or am I hoping? Do I understand their buying/approval process or am I guessing? Is the deal single-threaded? Have I confirmed budget? Name every gap.

The wishful-thinking check — where am I believing what I want to believe? Call out the optimistic assumptions I'm treating as facts (they said they're interested ≠ they'll buy; my champion likes me ≠ they can get this approved). Be blunt.

The single points of failure — the one thing that, if it goes wrong, kills this deal, and how exposed I am to it (one champion, one stakeholder, an unconfirmed budget).

The stage-reality check — is this deal actually at the stage I have it at, or am I sandbagging the truth to keep it in my forecast?

The hardest questions — the 3-4 questions my manager (or a tough buyer) will ask that I can't currently answer well. These are my real gaps.

The action list — for each gap, the specific thing to do to close it, prioritized by what most threatens the deal.

The honest verdict — is this deal as real as I think, or am I fooling myself? If it's softer than my forecast says, tell me. I'd rather hear it from you than from a slipped quarter.
You supply

The opportunity facts, the buying side as you know it, and the supposed compelling event.

Built into the prompt

Inspects skeptically instead of agreeing: pressure-tests urgency, stakeholder coverage, and process assumptions the way a hard review would.

What comes back

A ranked list of what's actually wrong with the deal, while there's time to fix it.

Advanced useSample 3 of 4

Analyze Won and Lost Deals for Recurring Patterns

Inspection at corpus scale: what your closed deals keep trying to tell you.

Read the full prompt
You are a revenue operations analyst running a win/loss review.

I'll paste a set of closed deals - both won and lost.

<deal_data>
[paste closed-won and closed-lost deals: stage history, notes, competitor, price, stakeholders, outcome]
</deal_data>

Context:
- What I sell: [PRODUCT]
- Segment to focus on (or "all"): [SEGMENT, e.g., mid-market healthcare]
- Qualification framework to map against: [default MEDDPICC if blank]

Compare the won deals against the lost deals and surface the recurring patterns across these dimensions:
1. Messaging - which value framings show up in wins vs losses
2. Qualification - what was known or missing at each stage
3. Competition - who we beat, who beat us, and on what
4. Pricing - discounting, packaging, and price objections by outcome
5. Stakeholder engagement - roles involved, multi-threading depth, champion presence

For each dimension deliver:
- The pattern in wins
- The pattern in losses
- The single highest-impact change to make, and why

Rules:
- Use only what is in the data above. Do not invent deals, numbers, or competitors.
- If a dimension has too few data points to be reliable, say so rather than forcing a pattern.
- End with the 3 changes that would most improve win rate, ranked.
You supply

A set of closed-won and closed-lost deals: stage history, notes, competitors, pricing, outcomes.

Built into the prompt

Compares winners against losers across messaging, qualification, competition, and price to isolate recurring, fixable differences.

What comes back

A pattern report: what won deals share, what lost deals share, and what to change.

Context-heavy customizationSample 4 of 4

Build Close Strategy for Enterprise Opportunity

Context-heavy: a full close strategy assembled from one enterprise deal's specifics.

Read the full prompt
You are a deal strategist for enterprise opportunities.

Review this opportunity and produce a structured close strategy:

Inputs:
- Account: [ACCOUNT]
- Opportunity: [OPPORTUNITY]
- Current stage: [STAGE]
- Key stakeholders: [STAKEHOLDER] (title, stance, influence level)
- Known risks: [KEY CRITERIA]
- Decision timeline: [TIMEFRAME]
- Competition / status quo: [COMPETITOR]

Requirements:
- Be critical, not optimistic — surface what is actually true about deal health
- Every recommendation must tie to a specific seller action with an owner

Output:
1. Situation assessment — 3 bullets on current deal health (what is confirmed, what is missing, what is at risk)
2. Top risks — the 2-3 factors most likely to stall or kill this deal, each with severity (High/Med) and mitigation
3. Recommended actions — ranked by urgency, each with owner and target date
4. Leadership summary — 2 sentences (current status + next milestone)
You supply

Account, stage, stakeholder stances and influence, known risks, decision timeline, and the competing alternative.

Built into the prompt

Stays critical rather than optimistic: ranks the risks, assigns an owner to every next step, and compresses the plan for leadership.

What comes back

A close strategy with ranked risks, owner-assigned next steps, and a two-sentence leadership summary.

Every one of the 50, by name

The complete contents index — what you see here is what downloads.

01

On the record: calls, notes, and briefs

13

Transcripts, messy notes, and handoffs converted into structured, CRM-ready deal records.

  1. Extract Deal Intelligence from Call Transcript
  2. Extract MEDDPICC Deal Intelligence from a Call Transcript
  3. Analyze a Closing-Stage Call Transcript for Deal Risk
  4. Analyze Late-Stage Call and Build Closing Brief
  5. Microsoft Copilot Teams Recording Summarize Pain Points Next Steps Action Items CRM
  6. Discovery Call Debrief Full Extract Insights
  7. Debrief a Discovery Call and Extract Key Insights
  8. Sales Call Notes CRM Assistant Deal-Ready
  9. CRM Notes Structured Writer Interaction
  10. Write CRM Notes for Any Interaction Type
  11. MEDDIC Transcript Analysis Qualify Detail Company Solution Rate Elements Gaps CRM
  12. Write a Qualified Lead Handoff Brief for the AE
  13. Build a Sales Intelligence Brief on a Target Account
02

The inspection: score, stress-test, flag

8

Skeptical single-deal inspections plus pipeline-wide risk flags with reasons attached.

  1. Stress-test your own deal before the review
  2. MEDDPICC Deal Analysis Brutally Honest Score Element Gaps Actions
  3. Run a MEDDPICC Deal Health Audit
  4. MEDDIC Scenario One ChatGPT Optimized
  5. Generate 10 MEDDPICC Pipeline Inspection Questions
  6. Flag At-Risk Pipeline Deals With Risk Ratings
  7. Flag Stalled Deals for Manager Team Pipeline Review
  8. Pipeline Risk Assessment RevOps Analyst
03

The prescription: next moves and close plans

6

Next best move, timeline compression, close strategy, quota math, and booking the follow-up.

  1. Identify the Next Best Move on a Live Deal
  2. Identify Actions to Compress Deal Timeline
  3. Build Close Strategy for Enterprise Opportunity
  4. Plan to Hit Quota This Quarter
  5. Build a Comprehensive Sales Action Plan
  6. Generate Gmail and Calendar Links for a Follow-Up Meeting
04

The review ritual: prep and the leadership read

9

Walk in prepared, leave with help — review prep and leadership updates that get answered.

  1. Prepare for a Manager Deal Review with MEDDPICC
  2. Deal Review Prep Manager Account Size Close Stage Days Situation What Needed Help
  3. Deal Review Preparation Description Format
  4. Forecast Call Preparation Description Format
  5. Pipeline Update For Manager One-On-One
  6. Internal Deal Update Leadership Format
  7. Write Internal Deal Update for Leadership
  8. Write an Internal Deal Status Update for Leadership
  9. Self-Coaching Email Post-Call Learned MEDDPICC Gap Deal Risk Next Step Capture
05

The post-mortem: wins, losses, patterns

5

Structured debriefs on closed deals that turn outcomes into pattern intelligence.

  1. Analyze Won and Lost Deals for Recurring Patterns
  2. Generate a Win/Loss Analysis Report from Deal History
  3. Lost Deal Post-Mortem Description Format
  4. Analyze a Lost Deal for Learnings
  5. Refine Your ICP Model Based on Conversion Trends
06

The team file: pipeline-wide inspection

9

Manager-level views: stalled-deal flags, health reports, forecast diagnostics, unit economics, hiring and ramp.

  1. Build Pipeline Health Report for Team Meeting
  2. Generate a Revenue Pipeline Forecast and Risk Report
  3. Forecast Accuracy Analysis And Improvement
  4. Analyze and Improve Sales Forecast Accuracy
  5. Pipeline Coverage Ratio Analysis Win Rates
  6. Generate a Concise GTM Unit Economics Summary
  7. Sales Workflow Automation 21 Manual Tasks Consultant
  8. Build a 30/60/90-Day Onboarding Plan for a Sales Hire
  9. Hire Your First Salesperson — Role, Profile, and Process

How Promptifi vets a pack

Every prompt starts in Promptifi's live library of 2,900+ scored prompts. Each is graded on three dimensions, with a frontline SDR/AE fit check on top. The 50 in this pack were selected from the topical pool with a quality floor of 70 — no filler to round out a count.

Scored dimensionUsefulness

Would a working rep reach for this on a real deal?

Protects you from prompt-shaped filler that reads well and does nothing.

Scored dimensionCraft & lift

Does the prompt encode judgment — structure, constraints, decision logic?

Protects you from one-liners you could have typed yourself.

Scored dimensionClarity

Are the inputs explicit and the output shape predictable?

Protects you from vague prompts that need ten retries to land.

From context to customer-ready, in five moves

01

Pick the prompt

Find the task in the contents index.

02

Fill the brackets

Drop in your account, persona, and context.

03

Paste into your AI tool

ChatGPT, Claude, Gemini, or Copilot.

04

Judge and edit

You stay the editor — the output is a draft.

05

Ship it

Send, log, or present. Repeat tomorrow.

Promptifi supplies the prompts. The work happens in your own AI tool — nothing you paste ever passes through Promptifi, and nothing runs on your behalf.

Is this your pack?

Use this pack when

  • Your pipeline meetings restate status instead of changing outcomes
  • You want deals inspected on evidence, whatever framework your team runs
  • A deal feels wrong and you need to know why before Friday
  • You review other people's deals and need sharper questions than the CRM offers

Choose another pack when

  • If your team runs MEDDPICC religiously, the MEDDPICC pack scores deals letter by letter. 50 MEDDPICC Prompts
  • If the problem is the roll-up number rather than one deal, start with forecasting. 50 Forecasting Prompts

Before you buy

Couldn't I just ask AI to review my deal?

A blank chat will agree with you; these prompts are built to argue. They carry skeptical framings, evidence requirements, and structured outputs a raw request never produces. Each of the 50 was selected from Promptifi's 2,900+ prompt library, scored on Usefulness, Craft & Lift, and Clarity with a frontline SDR/AE fit check and a quality floor of 70.

What's in the pack?

Fifty complete prompts in a PDF, grouped into the six sections above: evidence intake, single-deal inspection, prescriptions, review rituals, post-mortems, and team-level views. The full contents list above names all 50.

Do these need MEDDPICC or another framework?

No. Most prompts inspect on evidence, activity, and buyer behavior — no framework assumed. A handful can map to MEDDPICC or MEDDIC if you run one; for letter-by-letter depth, that's the MEDDPICC pack instead.

Which AI tools do they work in?

ChatGPT, Claude, Gemini, and Copilot. Every prompt is plain text you paste into your own tool. Nothing runs through Promptifi — your pipeline data stays wherever it already lives.

How much do I have to customize?

You fill [BRACKET] placeholders with your specifics: the deal facts, the pasted notes or transcript, the stakeholder list. That's the whole setup.

How does delivery work?

Instantly, with no account. The PDF downloads from the thank-you page the moment payment clears, and the link in your Stripe receipt email is your permanent copy of the download.

One-time purchase or subscription? Updates?

One-time. No subscription and no updates — the file you download is the product.

What's the refund policy?

All sales final. The four full samples and the complete 50-prompt contents list are on this page so you can inspect the pack the way you'd inspect a deal — before committing.

Inspect it before it slips

Fifty inspection prompts across evidence intake, stress-tests, prescriptions, review prep, post-mortems, and team-level views. A PDF that makes your next pipeline meeting the useful kind.

$19.99 one-time50 promptsInstant PDF downloadNo account neededCurated to close deals
Get the pack — $19.99