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CPG Innovation Pipeline Screening Framework

By Kevin, Founder & CEO

This framework covers how to screen CPG innovation pipelines from 10-15 concepts to 3-4 winners using consumer evidence. For the full innovation research methodology, see Product Innovation Research Template for CPG. For the complete concept testing guide, see Concept Testing for CPG.

The Four-Stage Screening Process


Stage 1: Quick Screen (30-50 interviews per concept)

Objective: Rapid go/kill assessment on the full pipeline.

Method: AI-moderated interviews with 30-50 verified category purchasers per concept (monadic design).

Questions (compressed, 15-minute interview):

  1. “Tell me your initial reaction to this concept.”
  2. “Does this solve a real problem for you? What problem?”
  3. “What is the biggest concern or hesitation you have?”
  4. “How is this different from what is already available?”
  5. “If this were on the shelf, would you stop and pick it up?”

Timeline: 48-72 hours per batch of 3-5 concepts. Full pipeline in 1-2 weeks.

Cost: $600-$1,000 per concept. $6,000-$15,000 for a 10-15 concept pipeline.

Go/No-Go Criteria:

MetricAdvanceRefineKill
Spontaneous appeal (% positive)>60%40-60%<40%
Problem-solution fit (% real problem)>50%30-50%<30%
Barrier severity (% dealbreaker)<30%30-50%>50%
Differentiation (% articulate difference)>40%20-40%<20%

Expected outcome: 10-15 concepts triage to 5-7 that advance, 3-5 that go to refine, and 3-5 that are killed.

Stage 2: Deep Evaluation (100 interviews per surviving concept)

Objective: Full concept evaluation of the 5-7 survivors, using the complete concept testing discussion guide.

Method: 100 verified category purchasers per concept, 30-minute AI-moderated interviews.

Timeline: 48-72 hours per concept.

Cost: $2,000 per concept. $10,000-$14,000 for 5-7 concepts.

Assessment dimensions:

  • Motivation hierarchy (laddering from attribute to value)
  • Price-value perception
  • Competitive displacement potential
  • Barrier addressability
  • Repurchase likelihood indicators

Expected outcome: 5-7 concepts triage to 3-4 with strong consumer evidence for advancement.

Stage 3: Refinement Testing (50-100 interviews per refined concept)

Objective: Test modified versions of concepts that showed potential but had addressable barriers.

Method: 50-100 interviews testing the refined concept versus the original.

Timeline: 48-72 hours.

Cost: $1,000-$2,000 per concept.

Key question: Did the refinement address the barrier without weakening the core appeal?

Stage 4: Portfolio Decision

Objective: Select the 3-4 concepts for full development investment.

Inputs: Consumer evidence from Stages 1-3, plus business feasibility data (margin, supply chain, distribution, cannibalization risk).

Concept Scoring Matrix


For each concept that reaches Stage 2, score on these dimensions:

DimensionWeightScore (1-5)Weighted Score
Consumer appeal strength25%
Problem-solution fit20%
Motivation depth (value connection)15%
Competitive differentiation15%
Barrier addressability10%
Price-value acceptance10%
Repurchase indicators5%
Total100%/5.00

Score interpretation:

  • 4.0+: Strong advance. High confidence in consumer demand.
  • 3.0-3.9: Conditional advance. Strong in some areas but has gaps to address.
  • 2.0-2.9: Requires significant refinement. Re-screen after modification.
  • <2.0: Kill. Consumer evidence does not support advancement.

Portfolio-Level Prioritization


After individual scoring, assess the portfolio:

  1. Coverage: Do the 3-4 winners address different consumer segments or occasions? A portfolio of concepts that all target the same segment creates cannibalization risk.

  2. Risk balance: Does the portfolio include both incremental (low risk, moderate upside) and breakthrough (higher risk, high upside) concepts?

  3. Cross-concept patterns: What themes emerged across concepts? If consumers consistently value a specific attribute across multiple concepts, that is a category-level insight that should inform all future innovation.

The Intelligence Hub surfaces these cross-concept patterns automatically when all screening data is stored in the same system.

Total Pipeline Screening Cost


StagePer ConceptConceptsTotal
Stage 1: Quick screen$600-$1,00010-15$6,000-$15,000
Stage 2: Deep evaluation$2,0005-7$10,000-$14,000
Stage 3: Refinement testing$1,000-$2,0002-3$2,000-$6,000
Total$18,000-$35,000

Compare to traditional agency screening of the same pipeline: $250,000-$750,000 over 6-12 months.

For the full CPG innovation research framework, see Product Innovation Research Template for CPG. For cost breakdowns by research type, see CPG Market Research Cost. To screen your innovation pipeline with verified purchasers, launch a study or book a demo.

Frequently Asked Questions

Stage one filters for category fit and shopper relevance using lightweight AI-moderated screens. Stage two explores purchase intent and concept comprehension with 15-20 interviews per concept. Stage three scores surviving concepts against a standardized matrix covering appeal, uniqueness, and credibility. Stage four prioritizes across the portfolio based on composite scores and strategic fit before allocating development resources.
The scoring matrix evaluates each concept against five to seven weighted dimensions — typically category relevance, emotional appeal, functional differentiation, purchase intent, and pricing headroom — and assigns a composite score. Weighting can be adjusted by strategic priority: a brand targeting premiumization weights differentiation and pricing headroom more heavily than a value-brand extension.
Traditional agency-run concept testing runs $25,000-$50,000 per concept because it bundles recruiter fees, moderator time, facility rental, and analyst hours. AI-moderated screening separates each of those cost centers: automated recruitment, AI moderation, and platform-generated analysis bring screening cost to $2,000-$4,000 per concept while delivering equivalent or richer qualitative depth.
Yes. Because User Intuition fields interviews in parallel across its 4M+ panel, teams can run all 10-15 concepts in a pipeline concurrently and receive results within 48-72 hours. This compresses a screening cycle that traditionally took 8-12 weeks into under a week, allowing teams to make development allocation decisions before competitive windows close.
Portfolio-level prioritization layers concept scores against strategic filters: white space coverage, cannibalization risk, and margin profile. A concept that scores highly on appeal but overlaps heavily with an existing SKU may rank below a moderate-scoring concept that opens a new occasion or demographic. The framework combines consumer evidence with business logic rather than treating score rank as the final answer.
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