Powered by AI Speed & Human Rigor

Quick, yet rigorous concept testing

Knit combines quant clarity, video-based qual depth, and AI-driven speed — all validated by expert researchers — so you can make smarter concept decisions with confidence.

TRUSTED RESEARCH PROVIDER FOR THE WORLD'S BIGGEST BRANDS

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Knit's Concept Testing

Smarter concept decisions, powered by real voices

Knit’s concept testing framework combines the scale of quant, the depth of qualitative video insights, and the speed of AI-driven analysis — all validated by experienced researchers. Get instant quantitative clarity on key measures, while video feedback surfaces the emotion and nuance behind consumer reactions.

Every study is backed by methodological best practices and expert review, ensuring rigor and reliability. The outcome is clear, confident decision-making and rapid iteration — smarter choices powered by consumers’ real voices and validated by experts.

BEnefits

Why leading brands go with Knit's Concept Testing

Knit combines quant clarity, video-powered qual, and AI-driven analysis with expert oversight — delivering faster, more reliable insights that move decisions forward.

Integrated Quant + Qual

Hard numbers and emotional nuance captured within the same survey — so you can gauge key performance indicators and hear consumer feedback all together.

Story-first, data-deep

Fast toplines for stakeholder-ready narratives with one-click access to detailed, defendable data.

AI-Powered + Human-Approved

Automated analysis and reporting paired with expert review for richer, more reliable, and assuredly actionable insights.

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Knit’s Unique Advantage

Video-Based Qual

Knit adds a layer of human emotion on top of quant:

➊ Hear tone, see facial reactions

➋ Capture what they say, and how they say it

➌ Enriches data with emotion, depth, and context

➍ Bonus: Video showreels bring the voice of the consumer to your stakeholders

Key Features

Features built for better concept decisions

Discover the tools that turn your concept testing data into clear, confident stories and decisions.

Key Feature #1

Scorecard Visualization

Conditionally formatted tables that highlight the strongest as well as the underperforming concepts across key measures.

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Key Feature #2

Stimulus Evaluation Block

A flexible, stimulus-specific block enabling consistent evaluation across concepts while allowing broader questions to be asked before or after the stimulus.

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Key Feature #3

Flexible Formats

Supporting single-exposure (monadic), multi-exposure (sequential monadic), pre-post formats, and a wide range of stimuli types.

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Key Feature #4

Calculated Fields

Auto-generated metrics like Top 2 Box, Bottom 2 Box, and top/bottom attributes and themes — fully customizable to fit the needs of each study.

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Concept Testing Use Cases

Explore What You Can Test with Knit

From creative to packaging, Knit’s concept testing adapts to every stage of your brand’s journey — delivering fast, rigorous insights powered by real consumer voices.

Creative Testing

Refine ads and messaging with consumer-driven clarity.

New Product Development

Validate new product ideas before launch with confidence.

Branding and Positioning

Test brand narratives to ensure relevance and resonance.

Service Offering Validation

Gauge demand and fine-tune services for market fit.

App & Website UX Concepts

Optimize digital experiences through real user feedback.

Packaging Design

Evaluate packaging appeal, usability, and purchase impact.

“Knit provided the agility we needed to test creative quickly, learn, and adjust before launch. It’s a critical tool for our brand strategy moving forward.”

Ammar Mahmood

Global Brand & Marketing Strategy 
Harman International

How NASCAR leverages fan and non-fan insights to optimize its in-season tournament launch strategy

Learn how NASCAR gathered, cut, and analyzed fan and non-fan input at scale to guide its in-season tournament launch strategy with the help of Knit.

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Turn ideas into confident decisions

Discover how you can test concepts faster, with deeper insights and greater confidence.

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Frequently Asked Questions

Concept testing can feel complex, but it doesn’t have to be. This FAQ section covers the details behind Knit’s approach — from monadic vs. sequential designs to video-based qual — helping you see why leading brands trust Knit to guide smarter decisions.

How is Knit’s concept testing different from traditional methods?

Unlike traditional surveys, Knit combines quantitative metrics with qualitative video feedback in the same workflow — giving you both statistical clarity and emotional nuance, faster than legacy tools.

How quickly can I get results from a concept test with Knit?

You can go from survey to story in under a week. AI handles the heavy lifting while researchers validate insights, ensuring speed without sacrificing rigor.

What types of concepts can I test on Knit?

You can test ads, messaging, new product ideas, packaging, branding, service offerings, app and website UX, and more — using text, images, video, or storyboards as stimuli.

What methodologies does Knit support (monadic, sequential, pre-post)?

Knit supports single-exposure monadic tests, sequential monadic designs, and pre-post surveys — giving you flexibility to fit your research goals and constraints

How many respondents do I need for a valid test?

We recommend at least 100 quantitative responses per concept and 20 qualitative video responses. Larger samples are suggested if you need cuts by audience segment

Can Knit handle multiple concepts at once?

Yes. Knit’s scorecards, calculated fields, and comparative views let you evaluate multiple concepts side by side, surfacing top performers instantly

What outputs will I get from a Knit concept test?

You’ll receive a full researcher-vetted report including concept scorecards, topline summaries, and video showreels — with one-click access to detailed data, transparent citations, and editable visualizations.

How does Knit ensure rigor and reliability in AI-powered research?

All automated toplines and diagnostics are paired with researcher review, ensuring every result is not only fast but also reliable, defensible, and actionable.

Can I run concept testing with international or niche audiences?

Yes. Knit supports global fielding and accommodates hard-to-reach or niche audiences with efficient sequential monadic designs that require fewer completes while still maintaining rigor.

How secure is my data when running a concept test on Knit?

Knit follows strict data privacy and security protocols to protect respondent and client information, ensuring your research is both compliant and confidential.

How is Knit’s concept testing different from traditional methods?
How quickly can I get results from a concept test with Knit?
What types of concepts can I test on Knit?
What methodologies does Knit support (monadic, sequential, pre-post)?
How many respondents do I need for a valid test?
Can Knit handle multiple concepts at once?
What outputs will I get from a Knit concept test?
How does Knit ensure rigor and reliability in AI-powered research?
Can I run concept testing with international or niche audiences?
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