PlaysbyMoat8
Back to the library
The workflow guideManagement

Keep product decisions connected to meeting evidence

Connect preparation, meeting analysis and reasoning checks so each discussion updates the next product decision.

5 implementation stepsAdvanced

How this works

Connect preparation, meeting analysis and reasoning checks so each discussion updates the next product decision. Use this when recurring product discussions need to build on prior evidence instead of repeatedly reopening the same questions. The workflow connects preparation, actual meeting evidence and the next validation decision.

Start from the current product objective and decision history, prepare questions, then compare the meeting record with what the team needed to learn. Record decisions, assumptions and unresolved contradictions separately. Update the strategy record only with reviewed conclusions rather than treating lively discussion as agreement.

Before you start

Product objective

Obtain the current problem, strategic question and decision owner.

Prior decision record

Collect relevant hypotheses, evidence and earlier unresolved questions.

Meeting evidence

Use permitted notes or transcript with a known coverage boundary.

Prepare the inputs

meeting_goal
Required

question, desired decision and evidence needed

Avoid replacing the agreed goal with a new agenda.

prior_context
Required

decisions, experiments and assumptions

Mark superseded or contradicted evidence.

meeting_record
Required

dated statements and decisions

Distinguish proposals from explicit agreements.

strategy_register
Required

current hypotheses, owners and validation steps

Preserve history when updating conclusions.

Implementation, step by step

  1. Prepare the discussion

    • Retrieve relevant prior decisions and identify what remains unknown.
    • Draft questions that can change the pending product decision.

    Checkpoint: The meeting has an evidence-focused agenda.

  2. Extract the meeting evidence

    • Identify new facts, observations, proposals and explicit decisions.
    • Retain references and mark incomplete or conflicting statements.

    Checkpoint: A factual meeting ledger exists.

  3. Compare with the objective

    • Assess which planned questions were answered and which remain open.
    • Do not infer agreement from silence or a suggested next step.

    Checkpoint: The team sees what was actually learned.

  4. Challenge proposed conclusions

    • Check each conclusion against the evidence and plausible alternatives.
    • Separate causal claims from observations and list needed validation.

    Checkpoint: The reasoning is reviewable.

  5. Update the decision record

    • Record owner-confirmed decisions, unresolved questions and the next test.
    • Keep roadmap changes separate unless the responsible owner explicitly authorized them.

    Checkpoint: The next discussion starts from current evidence.

Decisions along the way

Discussion changes direction without a decision

Record the alternative as a proposal and keep the original question open.

New evidence contradicts a prior assumption

Flag the affected decision for review rather than silently rewrite history.

A meeting ends without an owner

Leave ownership unresolved and request confirmation.

What you will produce

product-decision-update.md

Markdown

A source-grounded update to product reasoning.

Include: objective · evidence · decisions · assumptions · questions · next_test

meeting-evidence-ledger.csv

CSV

Traceability from conversation to conclusion.

Include: statement · type · source_ref · affected_hypothesis · status

Check the result

  • Verify decisions have explicit support and an owner.
  • Check conclusions answer the original objective or explain the changed scope.
  • Confirm contradictory evidence remains visible.
  • Ensure next tests have observable outcomes rather than vague learning goals.

When something goes wrong

Transcript omits the decision segment

Ask participants to confirm the decision before updating status.

Prior context is outdated

Reconcile versions before interpreting the meeting.

Assistant turns suggestions into commitments

Reclassify them and verify against the exact wording.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Synthetic: review a meeting about onboarding delays.

Inputs

Goal is to learn whether missing setup guidance causes abandonment. Two support examples mention confusion; the team proposes a checklist but agrees only to interview five users.

Expected result

Synthetic result: record confusion as limited evidence, the checklist as a hypothesis and five interviews as the agreed next validation step. Do not mark a checklist launch as approved.

Run a small pilot

Start small

Use the workflow across two consecutive product meetings.

Record the baseline

Record repeated questions, missed decisions and clarification effort.

Agree success criteria

Agree evidence traceability and decision continuity before recurring use.

Stop or revise

Stop strategy updates when the meeting evidence cannot establish agreement.

Keep the scope clear

  • Meeting analysis cannot authorize roadmap changes or resource commitments.
  • A coherent decision history does not prove the product hypothesis is correct.

Check before using

Confirm evidence, owners and unresolved contradictions before changing the roadmap.

Business activities

  • Coordinate meetings and follow-ups
  • Plan products and business changes

Editorially adapted workflow; not independently tested.

FROM A RECIPE TO YOUR WORKFLOW

Bring the company context together.

This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.

For this recipe: Prior discussions · Meeting objective and recording · Open product questions

Start with one recurring task, agree which sources to use, and review the first result with your team.

Discuss this workflow

What does your team do?

Choose the recurring work you would like to improve.

A field guide, made for work.

Plays is a curated library of anonymized business workflows. Each recipe explains the inputs, steps, tools, and checks you can adapt to your team. These are editorial guides, not independently tested implementations.

When you share a company website, the guide may read a limited number of public pages on that website. Messages and retrieved page text are sent to our AI provider, NVIDIA, to recommend relevant workflows. Share a general description rather than confidential information.

Saved workflows and selected activities stay in this browser. Your chat history and selected company website are kept in this tab and cleared when you reload or start a new chat. The server does not store conversations. Live source monitoring is not enabled.

If you allow analytics, PostHog receives page views and actions such as workflow saves, skill downloads and link clicks. Random browser and session identifiers connect these actions without identifying you by name. Your choice and browser identifier expire after 90 days; sessions restart after 30 minutes of inactivity or 24 hours. We use local storage, not analytics cookies. Messages, company URLs, search text, full referrers and IP addresses are not sent. There are no person profiles or session recordings. You can decline or withdraw in Analytics settings; Do Not Track and Global Privacy Control keep analytics off.

Read the Plays Privacy Notice ↗