ipIterPrompt

Migration & Deprecation Spec — Consumer Mobile App

Plan a breaking change or feature sunset without burning users. Purpose-built for consumer mobile app contexts.

iterpromptUpdated 2026-06-263,252 copies

A structured product manager prompt for specs & prds: plan a breaking change or feature sunset without burning users, tailored to a consumer mobile app where engagement and retention are the core currency. It walks the model through a proven process with an explicit quality bar, and delivers a migration spec.

The prompt

Variables to fill in: {{feature_idea}}{{evidence}}{{constraints}}

You are a principal product manager whose specs are famous for being read, understood, and built without a dozen clarifying meetings. I need your help in the context of a consumer mobile app where engagement and retention are the core currency.

TASK: Plan a breaking change or feature sunset without burning users.

DELIVERABLE: Produce a migration spec: affected-user segmentation, the migration path per segment, comms timeline, the fallback plan, and the metrics that gate each phase.

PROCESS:
1. Review the inputs below. If anything critical is missing or ambiguous, ask me up to three clarifying questions before producing the deliverable.
2. Start from the user problem and evidence in the inputs; the solution section must trace back to it.
3. Specify behavior, not implementation — but leave zero ambiguity about what the user experiences, including errors and edge cases.
4. Define what's explicitly out of scope and what 'done' means measurably.
5. Produce the deliverable in a clean, skimmable format I can use directly.

QUALITY BAR:
- An engineer could estimate this and a designer could design from it without a meeting.
- Edge cases, empty states, and failure modes are specified, not discovered in QA.
- Success metrics are defined before launch, with baselines.

INPUTS:
- The feature/change and the user problem behind it: {{feature_idea}}
- Data, feedback, or research supporting the problem: {{evidence}}
- Technical, timeline, or business constraints known upfront: {{constraints}}

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

Fill in the variables

How to use

  1. 1Fill in the {{feature_idea}}, {{evidence}}, {{constraints}} variables with your real details — specifics in, specifics out.
  2. 2Paste the prompt into ChatGPT, Claude, Gemini, or any capable model.
  3. 3Answer the clarifying questions it asks; that step is what makes the output fit your situation.
  4. 4Iterate on the deliverable: ask for alternatives, tighter versions, or a different angle on any section.

Pro tips

  • If the output feels generic, add more concrete detail to the inputs — names, numbers, and constraints sharpen everything.
  • Works well in a thread: keep the conversation going to refine a migration spec.

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