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