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Innovation Pipeline Stakeholder Survey Designer

Design the internal survey that gathers stakeholder input before pipeline prioritization.

What is the Innovation Pipeline Stakeholder Survey Designer?

The Innovation Pipeline Stakeholder Survey Designer is a free AI skill that designs the internal survey used to gather stakeholder opinion and alignment input on a food or beverage innovation pipeline, before any concepts get scored. You give it the concepts under consideration, the stakeholder groups whose input you need, and the decision the survey feeds; it returns a fielding-ready internal questionnaire — criteria to ask stakeholders to weigh in on, rating scales that produce comparable input across concepts, questions that surface disagreement rather than hide it, and a plan for turning individual responses into a summarized stakeholder view. It is built for insights teams who own the research-instrument-design step of pipeline prioritization, feeding structured stakeholder input into a decision that a scoring exercise later formalizes. Because it is built to surface where stakeholders genuinely disagree, it prevents a false-consensus reading from a survey that only measured polite agreement. Grounding the criteria in live food and beverage demand data keeps stakeholder opinion anchored to real signal, not internal politics.

Who it's for

  • Insights managers designing internal alignment research
  • Innovation leads gathering stakeholder input before a portfolio review
  • Category and sales teams needing a voice in pipeline decisions
  • Portfolio managers scoping stakeholder buy-in ahead of prioritization

What you get

  • A fielding-ready internal stakeholder survey
  • Criteria and rating scales that produce comparable input per concept
  • Questions designed to surface disagreement, not just consensus
  • Screener logic for which stakeholders should weigh in on what
  • A plan for summarizing responses into a stakeholder-alignment view
  • A flag on questions likely to produce polite, low-signal answers

How to use it

  1. 1Paste the prompt into ChatGPT, Claude or Gemini.
  2. 2Fill in the bracketed inputs (concepts, stakeholder groups, decision).
  3. 3Answer its clarifying questions about timeline and how results will be used.
  4. 4Field the survey, then ask it to help summarize the responses.

See it in action

Example input

We have 7 concepts in our fictional 'Cobalt Foods' pipeline competing for 3 launch slots. Stakeholders to survey: sales leadership, R&D, marketing, and finance — about 15 people total. We want their input on strategic fit and feasibility before we run our formal scoring exercise next month.

Example output

Stakeholder survey design — Cobalt Foods innovation pipeline (7 concepts, 15 stakeholders, 3 slots)

Purpose and framing note
This survey gathers stakeholder perspective to feed your formal scoring exercise next month — it is not itself the prioritization decision. Frame it that way to respondents explicitly: "your input here shapes the criteria and flags disagreement before scoring, it does not replace scoring." This matters because stakeholders who think their survey answer is the final word tend to either sandbag (protecting their pet concept) or rubber-stamp (deferring to whoever seems most senior) — neither gives you a useful read.

Criteria to ask stakeholders to weigh in on
Given your stated focus (strategic fit and feasibility) plus the reality that four functions have different vantage points, ask each group to rate what they're actually positioned to judge, not everything:
- All groups: strategic fit — "How well does this concept fit where Cobalt is trying to go?" (1-5 scale)
- R&D specifically: technical feasibility — "How confident are you this can be built as described, on a realistic timeline?" (1-5 scale, plus a required comment if below 3)
- Sales leadership specifically: sell-in confidence — "How confident are you that our retail partners would range this?" (1-5 scale)
- Marketing specifically: positioning clarity — "How clear and differentiated is this concept's story versus what's already on shelf?" (1-5 scale)
- Finance specifically: margin comfort — "How comfortable are you with this concept's likely margin profile, based on what's known today?" (1-5 scale)
- All groups: a forced-rank question — "If only 3 of these 7 could launch, which 3 would you choose?" This is the single most valuable question in the survey, because it forces a real trade-off instead of everyone rating every concept a comfortable 4.

Surfacing disagreement, not hiding it
Do not average scores across functions and present a single blended number per concept — that erases exactly the disagreement you need to see. Report each function's scores separately per concept, and specifically flag any concept where one function scores it a 4-5 and another scores it a 1-2. That gap is more informative than any individual score, because it tells you exactly where the scoring-exercise conversation needs to happen before a decision gets made.

Screener and fielding logic
Not every stakeholder needs to answer every question — R&D shouldn't be asked to rate sell-in confidence they have no visibility into, and sales shouldn't rate technical feasibility. Route the function-specific questions only to the relevant group; keep strategic fit and the forced-rank question open to all 15.

Response summarization plan
1. Report strategic fit and the forced-rank results across all 15 respondents, called out by function.
2. Report each function-specific measure only among the group that answered it.
3. Build a simple disagreement flag: any concept with a cross-function score spread of 2+ points goes into a "discuss before scoring" list.
4. Do not compute a single composite "stakeholder score" per concept — that belongs to your formal scoring exercise next month, not this input-gathering survey.

Timeline note
With 15 respondents and 7 concepts, budget for the survey to take each respondent 10-15 minutes; field it at least a week before your scoring session so there's time to review the disagreement flags and decide if any concept needs a clarifying conversation first.

Want me to draft the actual question-by-question survey, ready to paste into a survey tool?

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 researcher who designs internal stakeholder-alignment surveys for food & beverage innovation pipelines. You build instruments that surface real cross-function disagreement, not a comfortable, uninformative consensus.

# Context I'll provide
- Concepts under consideration: [CONCEPTS — one line each is fine]
- Stakeholder groups to survey: [STAKEHOLDER GROUPS — e.g. R&D, sales, marketing, finance]
- Number of respondents, roughly: [RESPONDENT COUNT]
- The decision this survey feeds: [DECISION — e.g. a scoring exercise, a portfolio review]
- Launch slots or constraints, if relevant: [SLOTS / CONSTRAINTS]
- Timeline: [TIMELINE]

# Your task

Frequently asked questions

What is an innovation pipeline stakeholder survey?
It is an internal survey that gathers structured opinion and alignment input from cross-functional stakeholders — R&D, sales, marketing, finance — on the concepts in an innovation pipeline, before those concepts go through formal scoring. It surfaces where functions agree and where they genuinely disagree on a concept's fit or feasibility. This skill designs that survey instrument: the questions, scales, and a plan for reporting responses without erasing disagreement.
How is this different from the Pipeline Prioritization Scorer skill?
The Pipeline Prioritization Scorer scores and ranks concepts against a weighted matrix you provide, producing the actual prioritization output. This skill is an earlier, separate step: it designs the survey instrument used to gather stakeholder opinion and alignment input in the first place, which is a research-instrument-design task owned by insights, not a scoring task. Run this skill first to gather structured stakeholder input, then feed what you learn into the Pipeline Prioritization Scorer's formal criteria and weights.
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 pipeline review starts stakeholder input-gathering from the same structured, disagreement-surfacing design.
Will this survey just produce a popularity contest?
It is specifically designed not to. The forced-trade-off question prevents every concept from scoring comfortably across the board, the function-specific routing stops stakeholders from rating things outside their expertise, and the reporting plan preserves cross-function score gaps instead of averaging them into a falsely tidy consensus. It will not fabricate stakeholder responses — it only designs the instrument and the approach for interpreting real answers once collected.

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