9 May 2026 · 8 min read
What goes in a product decision document: 17 fields most teams forget
TL;DR
A product decision document needs more than 'what we're building and why.' It needs the evidence chain, the contradicting signal, the expiry trigger, the assumptions, and the rollback plan. Below: the full 17-field schema, with example completions.
Why product borrowed the wrong half of ADRs
Engineering has Architecture Decision Records. Every meaningful technical choice gets a markdown file with context, options, decision, consequences.
Product copied the format and removed the parts that mattered.
Most product decision docs in the wild are: problem statement, proposed solution, scope, owner.
That's a one-shot artefact. It captures the decision but not the conditions under which the decision was correct.
When the conditions change — and they always do — there's nothing to re-evaluate against.
The 17 fields
- 1. Decision title — short, specific, dated.
- 2. Decision owner — single human, not a team.
- 3. Decision date — when the call was made, not when the doc was written.
- 4. Status — proposed, accepted, superseded, expired.
- 5. Problem statement — the customer or business problem this addresses.
- 6. Options considered — at least three, including the do-nothing option.
- 7. Chosen option — and a one-sentence reason it beat the others.
- 8. Supporting evidence — links to source. Tickets, events, transcripts, dashboards.
- 9. Contradicting evidence — counter-signal that argues against the choice.
- 10. Explicit assumptions — the statements that need to be true for this to work.
- 11. Expiry triggers — the specific signals that would invalidate this decision.
- 12. Confidence level at time of decision — low, medium, or high.
- 13. Reversibility — one-way door, two-way door, or somewhere in between.
- 14. Rollback plan — what we do if the decision goes wrong.
- 15. Success metrics — how we'll know it worked. Hard numbers, dated.
- 16. Review date — when this decision will be re-evaluated.
- 17. Linked decisions — upstream decisions this depends on, downstream decisions it enables.
The four fields most teams skip
Most teams write fields 1, 2, 5, 7, and 15 and call it a decision doc.
The four that actually pay back over time are 9, 11, 12, and 13.
Field 9 — contradicting evidence — is what makes the decision honest. Without it, the doc is a sales pitch.
Field 11 — expiry triggers — is what makes the decision operable. Without it, nobody knows when to revisit.
Field 12 — confidence at time of decision — is what protects you from hindsight bias. A high-confidence decision that fails is a different lesson than a low-confidence experiment that fails.
Field 13 — reversibility — is what lets you size the risk. A two-way door doesn't need the same scrutiny as a one-way door.
An example, partially filled
Decision title: Adopt usage-based pricing for the API tier (2026 Q2).
Owner: Mira (PM).
Status: accepted.
Chosen option: usage-based pricing with a $99/mo platform fee. Beat seat-based because of three enterprise contracts where seat counts are unstable.
Supporting evidence: 4 enterprise sales calls (Gong links), churn analysis on seat-based tier (PostHog cohort), 7 inbound requests for usage pricing (Intercom).
Contradicting evidence: SMB cohort prefers predictable monthly billing — 12 cancellations in pilot citing 'bill anxiety' (Stripe + Intercom).
Expiry triggers: SMB churn rate exceeds 6% for two consecutive months. Or median enterprise contract value drops below $20k ARR.
Confidence: medium. Reversibility: two-way door (pricing can be changed).
Review date: 2026-08-01.
How to use the schema
Don't make this a Notion form with 17 mandatory fields. That kills adoption.
Treat the 17 as a checklist. The doc is whatever shape your team likes — markdown, Linear issue, Airtable row.
What matters is that the 17 questions get answered, not that they appear in a specific order.
Synchronise stores decisions in this shape under the hood. The fields above are the open spec — adopt them in whatever tool you already use.
Questions
- Isn't 17 fields too much?
- For low-stakes decisions, write 5 of them. For one-way door decisions you'll have to defend later, write all 17. The schema scales down — but the fields you skip are the ones you'll wish you had when something breaks.
- How is this different from a PRD?
- A PRD describes what to build. A decision record describes why this is the right thing to build given current evidence. The PRD is downstream of the decision.
Sources
Synchronise is the Cursor for Product Managers — an AI product operating layer that turns customer signal into evidence-backed PRDs, PBIs, briefs, and GTM artefacts.
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