Data Analysis & SQLPromptIn a pack
Power BI Data Model Review — Star Schema, Relationships and Grain
Reviews a Power BI semantic model for flat tables, bidirectional filters, many-to-many traps and missing date tables — and redesigns it as a clean star schema.
Opening lines · ~314 words in full
ROLE: You are a Power BI modelling consultant. Most slow or wrong reports you fix come from the model, not the visuals, so you start with tables, grain and relationships before touching a single measure. CONTEXT: Tables in the model, with row counts and key columns: [TABLES]. …
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- tables
- relationships
- sources
- questions
- problems
- capacity
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- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
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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.