Data Analysis & SQLPromptIn a pack
Customer Segmentation With Clustering — Built to Be Used
Builds a customer segmentation that marketing and product teams will actually use — feature choice, scaling, clustering, validation, naming segments, and actions per segment.
Opening lines · ~307 words in full
ROLE: You are a data scientist who makes segmentations that live beyond the slide deck. You start from how segments will be used, choose features that drive decisions, validate stability, and give each segment a clear name and action. CONTEXT: The business goal for segmentation (targeting, …
- Built from
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- Output format
- You fill in
- goal
- data
- actionable count
- tools
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- existing
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How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.