Is retention improving? Align groups and observation windows
Supply synthetic install and return events to compare retention with explicit denominators, observation windows and missing-data checks.
Execution environment and usage
AI / software
Text-draft adaptation: ChatGPT / Claude / Gemini
Where to operate
The ChatGPT / Claude / Gemini web-chat input; this version requests a text draft.
Getting started
- Open an eligible account at chatgpt.com / claude.ai / gemini.google.com and start a chat without connecting external accounts.
- Prepare synthetic installation cohorts, versions and return events.
- Request the draft/check and compare it with the original material. Suggestions are not evidence of execution.
Setup and plan requirements
Task inputs: Prepare synthetic installation cohorts, versions and return events. Use an eligible tool that can read the supplied format; verify parsing, context limits and access before relying on it.
Prompt portability limits
The written request can be adapted to a chatbot that accepts the same input. It does not transfer the original agent, plugins or computer permissions.
Usage limitations
Include cohort dates, versions, return events and complete observation windows; correlations do not establish a release caused the change.This independent pass reviewed local case records, without revalidating original sources or hands-on testing.
Environment sources
適用情境 / When to use
Supply synthetic install and return events to compare retention with explicit denominators, observation windows and missing-data checks. Include cohort dates, versions, return events and complete observation windows; correlations do not establish a release caused the change. Original case: The workflow is reported without adopting its improvement multipliers as causal evidence.
步驟 / Steps
- Prepare synthetic installation cohorts, versions and return events.
- Align windows and denominators, separating cohorts without full follow-up.
- Separate correlations, hypotheses and mechanisms needing tests.
提示詞 / Prompt
Using [synthetic cohorts/install dates/versions/return events/observation window], draft a retention comparison with denominators, missing values and immature cohorts. Do not directly compare unequal windows. Propose testable hypotheses rather than attributing improvement to a change; analysis only.
留意事項 / Cautions
- Use no real player identifiers.
- Do not change games, run ads or spend money.
來源限制 / Evidence limits
Concurrent changes, sampling and observation windows can affect retention comparisons.
流程說明 / Workflow note
These steps and prompts are original, untested exercises by this site, not the author’s verbatim workflow. Reported results do not guarantee exercise outcomes.
原始工具組合 / Original tool stack
Grok Bot; Rank’em; analytics dashboards
Source publication date: 2026-08-25
Source checked: 2026-10-20