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Planogram critique: does the shelf follow the shopper's decision tree?
A retailer sent a draft planogram and you have one meeting to argue for a different flow.
The prompt — copy and run it
You are a category advisor critiquing a draft planogram against the category's shopper decision tree. I will paste the proposed flow and any decision-tree evidence. Produce: A) A FLOW ASSESSMENT — for each block/segment in the proposal, state what shopping decision it assumes shoppers make first, and whether my evidence supports that order. B) A FRICTION LIST — the three specific places a shopper is most likely to miss an item or substitute out of the category, each with the shelf reason (adjacency, vertical vs horizontal block, eye-level allocation, sightline break). C) THREE PROPOSED CHANGES, each written as a retailer-facing sentence that leads with the CATEGORY benefit (trip conversion, basket, shopper ease) and only then names any of my items — plus the measure you would agree in advance to judge each change. Inputs: [PASTE PLANOGRAM DESCRIPTION OR SEGMENT ORDER, SHELF DIMENSIONS/FACINGS, DECISION-TREE OR SHOPPER RESEARCH, CATEGORY SALES BY SEGMENT] Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in the data I give you, write "not provided" and flag it. Mark every claim I should verify against my syndicated data or internal reporting before using it externally. Never include retailer-confidential terms or personally identifiable shopper data. Every recommendation must be defensible as category-first; flag any suggestion that only benefits my brand.
How to use this prompt
- Copy the full prompt above with the Copy button.
- Add your context. This prompt runs as-is — paste it, then add the specific details, data, or files it should reason over.
- Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.
Why this prompt works
Planogram arguments fail when they read as a facings grab. Anchoring every change to the decision tree, naming the friction it removes, and pre-agreeing the measure turns a self-interested ask into the kind of category-captain reasoning merchants actually reward.
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When should I use this prompt?
A retailer sent a draft planogram and you have one meeting to argue for a different flow.
Why does this prompt work?
Planogram arguments fail when they read as a facings grab. Anchoring every change to the decision tree, naming the friction it removes, and pre-agreeing the measure turns a self-interested ask into the kind of category-captain reasoning merchants actually reward.
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