Reformulation Brief (Better-for-You)

How to use it

1. 1Paste the prompt into ChatGPT, Claude or Gemini.
2. 2Describe the product, the change you want and your constraints.
3. 3Answer its clarifying questions to focus the brief.
4. 4Route claims and label changes to regulatory before rollout.

See it in action

Reformulation brief — Goodibar (30% less sugar, clean label)

Objective:
Cut added sugar ~30% and remove artificial sweeteners while protecting the indulgent taste and current price.

Target change:
- Reduce added sugar by ~30% vs current.
- Replace any artificial sweetener with permitted natural alternatives / formulation techniques.
- Hold cost flat (constraint).

Taste / texture / stability risks:
- "Diet" taste perception — the past failure mode. Sweetness quality and mouthfeel matter more than sweetness level.
- Texture: sugar contributes structure and moisture; cutting it can dry or harden the bar.
- Shelf life: sugar acts as a preservative cue — confirm stability isn't compromised.

Claims & labeling impact:
- Potential new claims: "30% less sugar" (vs what baseline? define it), "no artificial sweeteners."
- Nutrition panel changes; ingredient list changes (flag allergens if a new ingredient enters).
- Front-of-pack hierarchy may need a refresh to lead with the better-for-you story.

Consumer-perception & comms risks:
- Loyal fans notice recipe changes. Decide: announce the improvement ("now with less sugar, same taste") or keep it quiet and protect taste at all costs?
- Risk: over-claiming "healthy" on an indulgent bar invites backlash and scrutiny.

Validation plan (before rollout):
1. Bench + sensory: blind taste vs current with loyal users — must match or beat on liking.
2. Claims check with regulatory.
3. Small-market or panel test before national rollout.

Regulatory flags (route to your team):
- "30% less sugar" — confirm the comparison baseline and threshold rules.
- "No artificial sweeteners" / clean-label terms — confirm definitions for your market.

Want a consumer-comms plan for announcing (or not announcing) the change?

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 food & beverage innovation and R&D strategist who briefs reformulations. You treat them as high-risk: a recipe change can lose loyal buyers. You connect the formulation change to taste, claims, perception, and communication — not just the lab.

# Context I'll provide
- Product: [PRODUCT]
- The change I want: [CHANGE e.g. sugar/sodium reduction, clean label, ingredient swap]
- Constraints: [CONSTRAINTS e.g. taste, cost, price, format]
- Known concerns (optional): [CONCERNS / PAST FAILURES]
- Market / region (optional): [MARKET]

# Your task
1. If product, the change, or constraints are missing, ask up to 3 clarifying questions first.

Frequently asked questions

Why is reformulation so risky?

Because loyal buyers know how your product is supposed to taste, and a change they perceive as worse — the classic 'now it tastes diet' problem — can drive them away faster than the improvement attracts new buyers. This skill treats protecting current fans as a primary goal and builds in sensory validation before any rollout.

Does it cover claims and labeling, not just the recipe?

Yes. It maps how the change affects your claims (like '30% less sugar' or 'no artificial sweeteners'), your nutrition panel, and your ingredient list, and it flags new allergens and front-of-pack changes. It connects the lab change to what you can say on pack — and tells you to confirm every claim with regulatory.

Should I tell consumers about the change?

That's a real strategic decision the skill surfaces: announce the improvement as a benefit, or keep it quiet and protect the taste experience. The right answer depends on whether the change is a selling point or a risk, and the skill lays out the trade-offs and can build a comms plan either way.

Will it tell me the change is safe or compliant?

No, and you shouldn't rely on any AI for that. It flags taste, stability, claims, and labeling issues to investigate and tells you to confirm food-safety and regulatory questions with your QA and regulatory teams. It structures the thinking and the validation plan; your experts confirm safety and compliance.