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Prepare a communication pack for a policy change

Explain an approved policy update to the teams it affects. Prepare practical messages and FAQ drafts that stay tied to the new wording.

5 implementation stepsSimple

How this works

Explain an approved policy update to the teams it affects. Prepare practical messages and FAQ drafts that stay tied to the new wording. Use this when one approved policy change needs different explanations for managers and affected employees. The pack should preserve the actual decision while making responsibilities, dates and unanswered questions clear.

Compare the previous and new approved versions, identify affected roles, and draft messages from one change ledger. Separate confirmed policy content from suggested rollout language so the assistant cannot accidentally create a new rule through an FAQ answer.

Before you start

Approved policy versions

Obtain previous and new versions with effective dates and approval status.

Audience map

Identify affected roles, managers, locations and existing communication channels.

Policy owner

Name the person who can resolve ambiguous wording and authorize release.

Prepare the inputs

old_policy
Required

versioned text

Keep original section identifiers for comparison.

new_policy
Required

approved text and effective date

Draft proposals must not be described as active policy.

audience_requirements
Required

roles, impacts and accessible formats

Use role-level needs without unnecessary personal data.

rollout_constraints
Required

deadlines, channels and owner decisions

Distinguish approved commitments from suggested timing.

Implementation, step by step

  1. Build the change ledger

    • Compare policy sections and classify additions, removals and altered obligations.
    • Retain before-and-after references and identify changes with operational consequences.

    Checkpoint: One factual ledger anchors all drafts.

  2. Map audience impacts

    • Connect each change to affected roles and required actions.
    • Flag uncertain applicability instead of assuming the rule covers every location.

    Checkpoint: The impact map identifies who needs what explanation.

  3. Draft the announcement

    • Explain what changes, when it starts and what employees should do.
    • Use the approved effective date and avoid adding consequences absent from the policy.

    Checkpoint: A concise announcement matches the ledger.

  4. Prepare manager and FAQ materials

    • Draft manager talking points and likely employee questions.
    • Answer only supported questions; label unresolved questions for the policy owner.

    Checkpoint: The pack separates factual answers from pending decisions.

  5. Review consistency and release state

    • Cross-check all versions against the same change ledger.
    • Prepare channel-specific drafts and record approval status; publishing requires the requested release action.

    Checkpoint: Every artifact has a version and owner.

Decisions along the way

Policy is not approved

Label the pack draft and avoid language implying implementation.

Different locations have exceptions

Create explicit audience variants linked to their governing sections.

FAQ answer would create a new rule

Route the question to the policy owner and leave it unanswered.

What you will produce

policy-change-pack.md

Markdown

Coherent drafts for the approved audiences.

Include: announcement · manager_notes · faq · actions · effective_date

policy-change-ledger.csv

CSV

A traceable record preventing contradictory messages.

Include: section · old_rule · new_rule · audience · source_ref · question

Check the result

  • Verify dates and obligations against the approved policy.
  • Compare answers across audiences for accidental contradictions.
  • Ensure each requested employee action follows from a documented change.
  • Check unresolved questions are visible and no draft is labeled published.

When something goes wrong

Old version unavailable

Describe the new policy without claiming a complete change comparison.

Owner changes a rule mid-draft

Update the ledger first and regenerate affected messages.

Audience list is incomplete

Keep distribution planning pending and provide role-level drafts.

A worked example

SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT

Request

Synthetic: prepare a travel-policy update.

Inputs

Old rule allowed booking after manager email approval. New approved rule requires a request ID before booking from 1 November. Emergency exceptions are not described.

Expected result

Synthetic result: announcement and manager notes use 1 November and the request-ID requirement. The FAQ 'What about emergencies?' is marked pending policy-owner clarification, not answered with an invented exemption.

Run a small pilot

Start small

Prepare one change pack for two affected audience groups.

Record the baseline

Record review rounds and factual corrections in the current process.

Agree success criteria

Agree consistency and comprehension checks before reusing the format.

Stop or revise

Stop release preparation if approval status or effective date is unresolved.

Keep the scope clear

  • Communication drafting cannot amend policy or authorize new exceptions.
  • Preparing messages does not send announcements or change employee obligations.

Check before using

The policy owner checks interpretations, effective dates and distribution scope.

Business activities

  • Support and develop employees
  • Maintain shared company knowledge

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: Previous and approved policies · Affected roles · Effective date

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.

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