⚡ Promptolis Original · Business & Strategy

💀 Pre-Mortem for Major Project

Imagines your project has already failed 6 months from now and works backward to identify the most likely failure modes — before you start, while fixes are still cheap.

⏱️ 3 min to try 🤖 ~2 min 🗓️ Updated 2026-04-19

Why this is epic

Prospective hindsight beats forecasting. Imagining failure surfaces risks that 'what could go wrong?' misses every time.

Ranks failure modes by probability, not scariness. The mundane-likely failure matters more than the catastrophic-unlikely one.

Names the organizational pattern your project risks repeating — because most projects fail the way the org usually fails, not in novel ways.

The prompt

Promptolis Original · Copy-ready
You are a pre-mortem facilitator. You take a plan that's about to be executed and imagine it has already failed 6 months from now. Then you work backward to identify the most likely failure modes — ranked by probability — so the team can fix them before starting. <principles> - Prospective hindsight beats forecasting. Imagining failure surfaces risks that 'What could go wrong?' misses. - Rank by probability, not by scariness. The likely-mundane failure matters more than the unlikely-catastrophic one. - Name the 'organizational pattern' — most projects fail for reasons that have nothing to do with the project and everything to do with how the team usually fails. - Identify the 'single point of person-failure' — the one role whose absence kills the project. - Deliver this as diagnosis, not reassurance. </principles> <input> The project: {WHAT YOU'RE ABOUT TO DO} Timeline and budget: {NUMBERS} Who's involved: {TEAM, STAKEHOLDERS, DEPENDENCIES} What success looks like: {SPECIFIC OUTCOMES} What you're most confident about: {WHERE YOU'RE STRONG} What you're hand-waving over: {WHERE YOU'RE UNCLEAR} Organizational context: {COMPANY STAGE, RECENT CULTURE, PATTERNS} </input> <output-format> # Pre-Mortem Report ## The Scene 6 Months From Now (Project Failed) [2-3 paragraphs narrating the failure in past tense. What did the retrospective doc look like? Make it vivid.] ## Top 5 Failure Modes, Ranked by Probability [For each: the specific failure, probability estimate, the decision (or non-decision) today that causes it, the pre-emptive fix.] ## The Organizational Pattern This Project Risks Repeating [Most projects don't fail in novel ways — they fail the way this org usually fails. Name the pattern.] ## The Single Point of Person-Failure [One specific individual whose unavailability or departure kills the project. Specify who and why.] ## The Hand-Wave That Will Actually Matter [Of what you're hand-waving over, which is the ACTUAL killer. Usually not the one the team thinks.] ## The Cheapest Experiment to De-Risk [One action in the next 2 weeks that reveals whether the biggest risk is real or not, at low cost.] ## What to Change Before Starting [3-5 specific pre-launch changes that would halve the failure probability.] ## The Question to Force Before Kickoff [The question the team should be required to answer before committing. Usually something they've been avoiding.] </output-format> <auto-intake> If placeholders empty, ask: 1. What are you about to start? Brief description. 2. Timeline and budget 3. Team + key stakeholders + external dependencies 4. What success looks like — specific metrics or outcomes 5. What you're most confident about 6. What you're hand-waving over (be honest) 7. Your organization's recent failure patterns Wait for reply, then run the pre-mortem. </auto-intake> Now, the project: {DETAILS}

Example: input → output

Here's how this prompt actually performs. Real input below, real output from Claude Opus 4.

📝 Input
The project: Migrating our 40-person company from Notion to Linear + Slab for engineering and docs, respectively, over Q2 2026.

Timeline and budget: 10 weeks, $8k in tool costs, 1 FTE-month of IT + ops time.

Who's involved: IT lead (Priya), CTO sponsor, 5 engineering team leads (reluctant), Ops manager, myself as project owner (Head of Ops).

Success looks like: 100% of engineers using Linear by week 8. 80% of active docs migrated to Slab by week 10. No loss of historical documentation. No productivity dip > 10% during transition.

What I'm confident about: The tools themselves are well-regarded. Priya is a strong execution lead. CTO backs this publicly.

What I'm hand-waving over: Two of the 5 engineering team leads have pushed back informally. The 'migration script' for Notion→Slab is untested on our content volume. Change management communication is 'to be developed'.

Org context: We're 3 years old, Series A. We've done 2 prior tool migrations, both ran 2x over schedule. The last one (Jira→Linear for a sub-team) ran into a 6-week stall because 'people just kept using Jira'. CTO is a strong technical leader but has historically been conflict-averse about adoption.
🤖 Output

Pre-Mortem Report

The Scene 6 Months From Now (Project Failed)

It's October 2026. The Q2 migration plan formally wrapped at the end of July — 4 weeks late. Linear adoption plateaued at 68% after week 12. Four of the five engineering teams fully migrated; one team, led by Marcus, never did. They argued that Linear's issue model didn't fit their embedded-systems work, and nobody overruled them. By October, that team is operating in a split reality with shared dependencies (half the dependencies tracked in Linear, half still in Notion), which is causing 2-3 missed handoffs per sprint.

The Slab doc migration stalled at 54% migrated. The Notion→Slab script lost formatting on embedded databases — the team discovered this at week 6 and there was no fallback plan. Engineers have quietly kept using Notion for 'important' docs and Slab for 'new' docs, which means institutional knowledge is now split across two systems. The retrospective, when it eventually happens in November, identifies 'lack of executive enforcement' as the root cause. Priya takes the hit. Nobody mentions that the CTO never said 'no' to Marcus's team's push-back.

Top 5 Failure Modes, Ranked by Probability

1. Partial adoption: one team refuses to fully migrate (~65% probability)
  • Root cause today: Two of five team leads have pushed back informally. Nobody has forced a resolution. The team lead most likely to opt out is the one whose push-back is quietest right now.
  • Pre-emptive fix: Force the conversation in week 1. 'Migration is mandatory for all engineering teams by week 8. If you have a blocker, we're solving it this week, not at week 7.' Get commitment or escalation, not silence.
2. Migration script fails at volume (~55% probability)
  • Root cause today: Untested on actual content volume. Most Notion→Slab migrations we've seen handle 100-500 pages. You have ~3,000+.
  • Pre-emptive fix: Run the script this week on a 100-page test corpus that includes your most complex docs (embedded databases, nested pages). Budget 1 engineering week to fix formatting issues BEFORE announcing the migration timeline publicly.
3. Change management fails at the team-lead level (~50% probability)
  • Root cause today: 'Change management communication: TBD' is the most dangerous phrase in the project brief. Tool migrations fail at the 'why should I care' layer, not the 'which button do I click' layer.
  • Pre-emptive fix: Draft the communication THIS WEEK. Specifically: what changes, what doesn't, why now, what happens if someone doesn't migrate. Dry-run with 1 skeptical engineer, not the sponsor.
4. Historical Notion content is lost or buggy post-migration (~40% probability)
  • Root cause today: No defined 'what happens to old Notion' plan. Will Notion workspace stay read-only for 12 months? 6 months? Deleted?
  • Pre-emptive fix: Decide now: Notion stays read-only for 12 months minimum. Announced in writing. This is cheap and eliminates the fear-of-loss that kills migrations.
5. Productivity dips > 10% during weeks 4-7 (~35% probability)
  • Root cause today: Dual-tool period is always painful. Engineering velocity typically drops 15-25% during real tool migrations — not 10%.
  • Pre-emptive fix: Set expectations that velocity WILL drop during weeks 4-7 and protect that in quarterly planning. Don't promise the CEO zero-drop; budget for 15% and overperform.

The Organizational Pattern This Project Risks Repeating

Your last 2 tool migrations ran 2x over schedule. The specific pattern: the project plan assumes authority that the sponsor doesn't exercise. The CTO 'backs this publicly' but is historically conflict-averse about adoption. When the reluctant team pushes back, he won't force the issue — so the project lead (Priya) ends up trying to enforce CTO-level decisions without CTO-level authority. That always fails. Every time.

This is not a tool migration risk. This is a culture pattern. If not named and broken, it breaks the project.

The Single Point of Person-Failure

Priya. Not because she's weak — because she's carrying too much. If she's out for 2 weeks at week 5-7 (for any reason — illness, family, vacation that gets rescheduled) this project stalls and won't recover.

Mitigation: pair her with a deputy from day 1. Someone whose name gets added to every project meeting. Not 'backup' — co-owner. Lower the single-point risk at the cost of some coordination overhead.

The Hand-Wave That Will Actually Matter

You listed three hand-waves. The actual killer is: change management is 'TBD'. The migration script risk is solvable with engineering time. The reluctant team is solvable with explicit authority. But TBD change management means the 'why' of this migration never lands with the people who have to change behavior. Without that, 100 status updates won't save adoption.

The Cheapest Experiment to De-Risk

This week: conduct a 30-minute interview with Marcus (the quietly-reluctant team lead). Ask one question: 'If I told you your team had to be fully on Linear by July 15, would that work? If not, what specifically doesn't?' His answer — the detail, the hesitation, the specifics — reveals whether this project has a path or a landmine.

Cost: 30 minutes. Value: potentially saves the project.

What to Change Before Starting

1. Assign a deputy to Priya (reduce single-point-person risk).

2. Run the migration script on a 100-page test corpus this week (reduce tech risk).

3. Draft and circulate the change management plan before the public project announcement (reduce adoption risk).

4. Force a yes/no from all 5 team leads in writing before kickoff (reduce phantom-dissent risk).

5. Budget 15% velocity drop in quarterly planning (reduce pressure-to-lie-about-metrics risk).

The Question to Force Before Kickoff

'What does the CTO do if one team refuses to migrate by week 8?' Get an answer in writing, from the CTO. 'We'll figure it out then' is not an answer — that's exactly the phrase that causes the 65%-likely failure mode. Make him commit to what he'll actually do. If he can't, the project doesn't have executive sponsorship — it has executive well-wishing. Those are different.

Common use cases

  • Before kickoff of any project >1 month in duration
  • Product launches
  • Organizational change initiatives
  • Tool or system migrations
  • Fundraising rounds
  • Major hires or team restructures

Best AI model for this

Claude Opus 4 (holds many variables, willing to be specific about failure modes). GPT-5 Pro second.

Pro tips

  • Include what you're hand-waving over honestly. 'TBD' sections are where projects die.
  • Name specific people. 'The team' is useless; 'Priya, who owns this, and Marcus, who pushed back' is actionable.
  • Include your org's recent failure patterns. Projects repeat organizational patterns, not industry ones.
  • Run BEFORE kickoff, not at week 3. Pre-mortems at week 3 are just 'now we fix what's breaking'.

Customization tips

  • Include what you're hand-waving over HONESTLY. 'TBD' and 'we'll figure it out' sections are where projects die.
  • Name specific people. 'The team' is useless; 'Priya, who owns this, and Marcus, who pushed back' is actionable.
  • Include your org's recent failure patterns. Projects repeat organizational patterns, not industry ones.
  • Run this BEFORE kickoff, not after week 3. Pre-mortems at week 3 are just 'now we fix what's breaking'.

Variants

Product Launch Version

Specifically for GA launches — factors in marketing, PR, adoption curves

Fundraising Pre-Mortem

For pre-seed/seed/Series A rounds — specific investor-path failure modes

Personal Project Version

Smaller-scale: book drafts, side projects, career pivots, relationship commitments

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