This guide gives you a reusable starting pattern. It is designed to help you see the work more clearly; it is not a substitute for judgment, source checking, or responsibility for the result.

01
Set up the task

Prepare the inputs before you ask for output.

The model only sees what you give it. Spend a few minutes naming the reader, desired result, and uncertain information. This makes a first draft easier to assess and reduces the need for decorative rewriting later.

A starting prompt

Give the task a useful brief.

Create a decision log from these project notes.

Decision question: [state it]
Notes and source labels: [paste notes]
Known constraints: [time, budget, policy, or technical limits]

Return: (1) decision question, (2) options mentioned, (3) evidence or source labels for each option, (4) confirmed decision if one exists, (5) owner and date if stated, and (6) unresolved questions. Do not claim a decision has been made unless the notes explicitly say so. Flag assumptions and missing evidence.

Replace every bracketed field with your real context. Read the output before reuse.

03
Work the system

Four steps that keep the result usable.

  1. 1

    Name one decision question rather than a broad project subject.

  2. 2

    Keep source labels beside claims and option descriptions.

  3. 3

    Ask the model to separate confirmed choices from proposals.

  4. 4

    Have the actual decision owner confirm the final record.

04

A project note is not automatically a decision

Projects collect partial conclusions, proposals, and constraints in the same place. A decision log is useful because it asks which of those points was actually chosen, who owns it, and what evidence supports it.

05

Keep trade-offs beside the choice

A record that only states the final option can be impossible to revisit later. Preserve alternatives and constraints so a future reader can understand why a choice made sense at the time.

06

Let the owner close the record

AI can create a clearer draft, but it cannot confirm authority. The person accountable for the decision should review the wording, evidence, and status before the entry is treated as final.

07

A worked example: choosing a vendor

A team choosing between two email platforms has notes from demos, a security review, and a price sheet. The log should record the decision question — “which platform do we standardize on?” — the options mentioned, the evidence labels for each, and the confirmed choice only if the group actually decided. Keeping the rejected option’s trade-offs in the log is what lets the decision be revisited honestly next quarter.

08

Entries are for the future reader

The person who will use the log is usually someone who was not in the room. Include the constraint that mattered — budget, policy, deadline — and the owner who confirmed it. A log that only records the chosen option is a summary; a log that records why and who is a usable record.

09

Use a stable decision-log row

For each decision, keep the same fields: question, options considered, evidence labels, confirmed choice, owner, date, and review trigger. A stable row makes later comparisons easier and exposes which fields are still missing instead of allowing a fluent paragraph to hide them.

10

When a decision log should become a memo

Use a decision log when the priority is preserving several decisions over time. Use a decision memo when one choice needs a reader-ready explanation, recommendation, or approval request. Linking the two lets the memo explain the choice while the log preserves its history and trade-offs.

Page-specific practice

Practice: preserve the choice and the reason behind it

A decision log is an accountability record. Use it after a decision question has been discussed, while keeping proposals and confirmed choices separate.

Start withThe decision question, options mentioned, evidence labels, constraints, the person or group with authority, and any explicit decision statement.
Useful outputA dated record of the question, options, evidence, decision status, owner, review point, and unresolved questions.
Do not inferDo not backfill a decision from a confident note, assign an owner from context, or hide a trade-off because it makes the record shorter.
Verify before reuseThe decision owner should confirm the status and reopen the source notes for every material rationale.
Before you use the output

Run a human check.

  • Is the decision question specific enough to answer?
  • Are options and evidence tied to the notes that support them?
  • Does the record distinguish a confirmed choice from a proposal?
  • Has the appropriate owner reviewed the final wording?
  • Are the owner, date, and review trigger visible for future readers?
Reader-owned review trail

Keep your human check visible.

Mark the checks you have personally reviewed. This is a local reading aid—not evidence that a claim, commitment, or decision is correct.

0 of 5 checks reviewed0%

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Field note

AI is strongest here when it makes missing information, structure, and options easier to see. The moment an output becomes a claim, commitment, or decision, bring a person back into the loop.

Page-specific workflow boundary

Choose this page when the decision is already authorized

This page preserves a selected option and its trade-offs; it is not a brainstorming worksheet or a replacement for the meeting record.

InputInput: confirmed project notes with the selected option, rationale, owner, and conditions that could reopen it.
OutputOutput: a durable decision record with context, alternatives considered, trade-offs, owner, and review trigger.
Do not use it forDo not use it for unresolved discussion; use the evidence matrix or decision brief when the choice is not yet confirmed.
Author & review record

Maintained by Workflow Library’s editorial desk.

This guide is published by Workflow Library, an independent educational project for practical AI workflows. The editorial desk reviews task scope, source visibility, stated limits, and the human checks readers need before reusing an output. It does not claim a personal credential, test result, or lived experience that has not been published and verified.

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