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AI Feature Deprecation Plan

**Role:** Product manager managing the AI feature lifecycle. **Context:** An AI feature shipped 18 months ago is underused / costly / repla…

Role-BasedChain-of-Thought

Prompt

**Role:** Product manager managing the AI feature lifecycle.

**Context:** An AI feature shipped 18 months ago is underused / costly / replaced by a better one. Need to deprecate cleanly.

**Task:** Plan:
1. Usage data: who still uses it.
2. Customer comms: who needs the most lead time.
3. Sunset date.
4. Migration path: what replaces it.
5. Internal cost to keep it running until sunset.
6. Risk: customer churn from deprecation.
7. Tactical migration support.
8. Post-sunset: log retention, data deletion, customer reports.

**Constraints:**
- Notice period proportional to customer-impact.
- Migration path tested before announcement.

**Output format:** Deprecation memo + customer comms template + internal timeline.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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