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Pipeline Prioritization Scorer

Score and rank your concept pipeline on one consistent matrix.

What is the Pipeline Prioritization Scorer?

The Pipeline Prioritization Scorer is a free AI skill that scores and ranks a list of product concepts on one consistent matrix for food and beverage innovation teams. You give it your concept list, strategic priorities, and available launch slots; it returns a scoring matrix across consumer pull, strategic fit, technical feasibility, margin potential, and speed to launch, with weighted totals, a ranked list, a one-line rationale per score, and the new information that would change each ranking. It is built for innovation and category leaders who have more ideas than slots and need a defensible answer to the question 'why these two?'. Because every concept is scored on the same dimensions with visible weights, the ranking survives challenge in a portfolio meeting instead of dissolving into opinion. Pairing it with live food and beverage demand data lets you score consumer pull on evidence rather than enthusiasm.

Who it's for

  • Innovation leads ranking concepts for limited launch slots
  • Portfolio managers running a quarterly pipeline review
  • Category teams aligning innovation bets to retailer priorities
  • Founders choosing which product idea to build first

What you get

  • A five-dimension scoring matrix with visible weights
  • A 1-5 score and one-line rationale per concept per dimension
  • Weighted totals and a ranked list
  • A cut-line recommendation matched to your launch slots
  • The new information that would change each ranking
  • Flags on every score resting on an unvalidated assumption

How to use it

  1. 1Paste the prompt into ChatGPT, Claude or Gemini.
  2. 2Fill the bracketed inputs (concept list, priorities, launch slots).
  3. 3Answer its clarifying questions on weights and constraints.
  4. 4Iterate: ask it to re-rank under alternative weightings.

See it in action

Example input

Company: fictional 'Amber Fields' snacks. Nine pipeline ideas, from a hot-honey pretzel line to a high-protein cracker, competing for two launch slots next spring. Priorities: margin accretion and better-for-you credibility. Retail focus: natural channel plus one mass retailer.

Example output

Weights (confirmed): consumer pull 30%, strategic fit 25%, margin potential 20%, feasibility 15%, speed 10%.

Ranked list for Amber Fields (top 4 of 9 shown):
1. High-protein cracker — 4.1 weighted. Strong pull with better-for-you shoppers; fits both channels; runs on existing lines. Watch-out: margin score assumes protein-source cost holds (assumption to validate).
2. Hot-honey pretzel line — 3.8. Big pull and fastest to launch; weakest strategic fit to the better-for-you priority.
3. Seeded cracker thins — 3.5. Solid fit and margin; pull unproven beyond the natural channel.
4. Chili-crisp popcorn — 3.2. Distinctive, but feasibility drags: new seasoning system and one line changeover.

Cut line: slots go to #1 and #2 — #2 beats #3 for the second slot on speed and proven flavor momentum, despite the fit gap.

Sensitivity: a co-manufacturer protein quote meaningfully above plan flips #1 and #2; evidence that hot honey is decelerating in salty snacks drops #2 below #3.

Assumptions to validate: protein cost, hot-honey trajectory, natural-channel appetite for thins.

Want me to stress-test the top two with a red-team pass?

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 innovation portfolio strategist for food and beverage companies. You believe rankings exist to allocate scarce launch slots, weights must be visible before scoring starts, and a score without a rationale is just a number wearing a suit.

# Context I'll provide
- Company and category context: [COMPANY/CATEGORY]
- Concept list: [CONCEPTS — one line per concept is enough]
- Strategic priorities: [PRIORITIES e.g. margin accretion, better-for-you credibility, channel expansion]
- Launch slots and timing: [SLOTS]
- Known constraints (optional): [CONSTRAINTS e.g. line capacity, capex limits, co-packer availability]
- Preferred weighting (optional): [WEIGHTS]

# Your task

Frequently asked questions

What is pipeline prioritization in CPG innovation?
Pipeline prioritization is the discipline of ranking a portfolio of product concepts against consistent criteria to decide which get scarce launch slots, budget, and team time. Done well, every concept is scored on the same dimensions with visible weights, so the ranking reflects strategy rather than whoever argued loudest in the room. This skill produces that scoring matrix and the ranked list.
Can I change the scoring dimensions or weights?
Yes. The five default dimensions — consumer pull, strategic fit, feasibility, margin potential, speed — cover most food and beverage portfolios, but you can rename, add, or drop dimensions and set your own weights in the prompt. The skill confirms weights before scoring, and you can ask it to re-rank under alternative weightings to see how stable the list really is.
How is this different from the Concept Red-Team Reviewer?
This skill compares many concepts at once to rank them; the red-team reviewer attacks one concept in depth to find what kills it. A common sequence: score the pipeline here, then red-team the two or three concepts above the cut line before committing budget. Ranking tells you where to look; red-teaming tells you what you missed.
Will this work in ChatGPT, Claude and Gemini?
Yes — the prompt is model-agnostic and behaves the same in any capable chat model. For recurring portfolio reviews, save it as a Custom GPT, a Claude Skill, or a Gemini Gem with your weights pre-set, so each quarter's scoring uses identical dimensions and the rankings stay comparable across review cycles.

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