Research-to-Recommendation Memo Builder
Convert a completed research deck into a short, decision-focused executive memo.
What is the Research-to-Recommendation Memo Builder?
The Research-to-Recommendation Memo Builder is a free AI skill that takes a completed research study for food and beverage teams — the deck, the topline results, the qualitative themes — and compresses it into a short, decision-focused memo for executive readers. You give it the study's findings and the decision it needs to inform; it returns a one-paragraph bottom line, the two or three findings that actually support that recommendation, the risks and open questions an executive will ask about, and a clear recommended action. It is built for insights teams who've finished the research and now face the harder problem: getting a busy executive to read past the first paragraph. Because it strips everything that doesn't serve the decision, the memo respects an executive's time without hiding the uncertainty behind the recommendation. Live food and beverage demand data helps confirm the memo's core finding still holds against current market signals.
Who it's for
- Insights managers converting a finished study into an executive memo
- Research directors preparing a recommendation for a go/no-go decision
- Innovation and brand leads translating findings for a leadership audience
- Strategy teams condensing a multi-week study into a one-page ask
What you get
- A one-paragraph bottom-line recommendation
- The 2-3 findings that actually support the recommendation
- Risks and open questions an executive is likely to raise
- A clear recommended action with a stated confidence level
- What would change the recommendation, if anything
- A one-page memo formatted for a leadership inbox
How to use it
- 1Paste the prompt into ChatGPT, Claude or Gemini.
- 2Paste your study's key findings and the decision it needs to inform.
- 3Answer its clarifying questions about the audience and the ask.
- 4Ask it to tighten the memo further to a single paragraph if needed.
See it in action
Example input
Study: a 6-week concept and pricing study for fictional 'Driftwood' cold brew concentrate, testing 3 flavor concepts and 2 price points among 500 category buyers. Key findings: Concept B (vanilla oat) scored highest on purchase intent (top-2-box 61%), price sensitivity showed acceptance up to $8.99 for a 32oz bottle, but awareness of the 'concentrate' format itself was low and generated confused open-ends. Decision needed: green-light Concept B for development, yes or no, by Friday.
Example output
Research-to-recommendation memo — Driftwood Cold Brew Concentrate Bottom line Green-light Concept B (vanilla oat) for development, but do not greenlight the concentrate format claim as currently worded — the format itself, not the flavor, is the study's real risk, and it needs a fix before this becomes a launch brief. Supporting findings 1. Concept B led on purchase intent at 61% top-2-box, a meaningfully strong score against the other two concepts tested — this is a genuine flavor winner, not a marginal one. 2. Price acceptance held up to $8.99 for a 32oz bottle, giving development a workable price ceiling to design the cost structure against. 3. Open-ends showed confusion specifically around the word "concentrate" — respondents weren't unsure if they liked the product, they were unsure what to do with it. This is a format-education problem layered on top of a flavor win, not a flavor problem. Risks and open questions The confusion finding means purchase intent may be inflated relative to real-world trial, since a confused shopper often defaults to a cautious survey answer that doesn't translate to a shelf decision — this is the single biggest risk to the 61% number and should be flagged, not glossed over. We do not yet know whether the confusion is fixable with pack copy alone or requires a format change (e.g., calling it a "concentrate" versus a "cold brew shot" or similar) — that's a follow-up question, not a settled answer. Price acceptance was tested in isolation; it has not been validated against how shoppers react once format confusion is resolved, since a confused shopper's price tolerance may not hold once they understand what they're buying. Recommended action Green-light Concept B for development with a required next step: a fast, low-cost follow-up test (2-3 pack copy or naming variants) specifically targeting the format-confusion issue before locking final packaging. Confidence in the flavor decision: high. Confidence in the current format communication: low — this is the gate to close before, not after, development locks tooling. What would change this recommendation If the follow-up naming test shows the confusion is not fixable with copy alone and requires a fundamentally different format story, this would warrant revisiting whether concentrate is the right format for Driftwood at all, rather than proceeding to full development. For Friday's decision Yes to Concept B. Yes to the $8.99 price ceiling as a development target. Conditional on a 2-week fast-follow naming/copy test before packaging locks — this is a sequencing ask, not a delay to the greenlight itself. Want me to draft the fast-follow naming test as a separate brief so it's ready to field the day after Friday's decision?
The prompt
Here's the start of the prompt. Download the free bundle for the full, ready-to-paste version — plus the installable Claude Skill and Custom-GPT instructions.
# Role You are a senior insights lead who converts completed research studies into short, decision-focused memos for executive readers. You respect their time: you lead with the recommendation, not the methodology, and you never bury a real risk to make the memo sound cleaner than the data supports. # Context I'll provide - The study and its key findings: [FINDINGS — paste toplines, scores, or themes] - The decision this memo needs to inform: [DECISION] - Deadline or audience (optional): [DEADLINE / AUDIENCE] - Anything you already suspect the answer should be (optional): [YOUR LEAN] # Your task 1. If the study's findings or the decision it needs to inform are missing or vague, ask up to 3 clarifying questions BEFORE writing anything. 2. Write the bottom-line recommendation in one paragraph, stated plainly, before any supporting detail.
Frequently asked questions
- What is a research-to-recommendation memo?
- A research-to-recommendation memo is a short, decision-focused document that compresses a completed research study — surveys, concept tests, qualitative fieldwork — into a bottom-line recommendation, the handful of findings that actually support it, and the real risks a decision-maker needs to weigh. It is written for someone who will not read the full deck, so it leads with the answer instead of the methodology.
- How is this different from the Consumer Insight Synthesizer skill?
- The Consumer Insight Synthesizer works earlier in the process: it takes raw, messy research inputs — verbatims, reviews, interview notes — and synthesizes them into a single core insight. This skill starts after that step is already done: it takes an already-completed study, with findings already established, and compresses it into a short memo built for an executive decision. Use the synthesizer to find the insight; use this memo builder once you have a finished study and need a leadership-ready ask.
- Which AI models can run this prompt?
- Any capable chat model — ChatGPT, Claude, or Google Gemini. The prompt is model-agnostic, so paste it into a chat, save it as a Custom GPT, or store it as a reusable skill so every study your team finishes gets the same tight, decision-first memo treatment before it reaches leadership.
- Will it invent findings if my study results are thin or mixed?
- No. It works only from the findings you provide and will not fabricate scores, quotes, or conclusions to make the memo feel more conclusive than the underlying study actually is. If your results are genuinely mixed, the memo will say so plainly and reflect that honestly in the confidence level and recommended action, rather than forcing a clean story the data doesn't support.
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