
This page is about upgrading your focus group methodology to deliver statistically validated consumer insights — with a certainty score on every recommendation.
Has a senior stakeholder ever questioned how confident you are in your focus group findings — and you had no statistical answer?
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Trusted by · PepsiCo · P&G · Coca-Cola · Disney · Pfizer · Unilever · Nestlé · L'Oréal
These are the truths every MR professional knows but rarely says out loud in a meeting.
8 to 12 participants in a room cannot represent your market. Every finding is directional at best. Statistically indefensible at worst. You know this.
What reaches leadership is what an analyst chose to include. The actual consumer voice — unfiltered, unranked, unscored — never makes it to the room.
When a CFO asks for the statistical confidence level on a finding — there is no answer. There has never been an answer. Until now.
The question is not whether focus groups have limitations. The question is whether you are willing to keep settling for them.
The respondent experience barely changes. The output changes completely.
165+ respondents submit feedback in their own unfiltered words. AI quality control removes noise in real time. Every response enters the dataset as genuine consumer language.
Traditional equivalent: 8–12 participants · Moderator filters responses
Each of the 165 respondents independently rates 8 randomly selected peer verbatims. They select which ones they relate to (Reach) and rate the strength of feeling 1–10. No moderator. No group-think. Pure independent peer judgment at scale.
Traditional equivalent: Analyst decides which themes matter
Every verbatim receives a QQ Insight Potential Index score 0–100. Rational and emotional dimensions scored separately. Insights ranked by commercial potential. Certainty level rated — High, Medium, or Low.
Traditional equivalent: Theme in analyst summary · No score
The critical distinction: The commercial potential score attached to every verbatim is derived from 165 people independently judging it — not from one analyst's interpretation. That is the difference between opinion and statistical evidence.
The choice becomes clear when you see the numbers together.
| Metric | Traditional Focus Group | QualQuant Focus Group |
|---|---|---|
| Delivery time | 3–4 weeks | 12 business days |
| Sample size | 8–12 participants | 150+ peer-validated respondents |
| Statistical validity | None — directional only | High — peer-consensus validated |
| Cost | Full baseline | 5–10% less |
| Insight prioritisation | Analyst judgment | QQ IPI score 0–100 on every verbatim |
| Decision certainty | Best estimate | High / Medium / Low certainty score |
| Strategic playbook | Recommendation summary | Do this → Achieve this → Why → Certainty level |
| Consumer language | Analyst paraphrase | Exact verbatim — scored and ranked |
| Rational vs emotional | Not separated | Scored separately — tells you where to invest |
These are the questions every stakeholder deserves an answer to. Most research cannot provide them.
The Delphi algorithm at our core received doctoral validation in 2007 and has been in continuous commercial use ever since.
Validated 'Pepsi Next' as one of three high market potential brand names through peer-consensus scoring across 150+ respondents — before a single dollar of launch investment was committed.
Purchase intent increased 15% after concept optimisation driven by QualQuant-identified consumer expectation gaps — gaps that three prior traditional focus groups had missed entirely.
Identified the whitespace between customer perceptions and brand positioning — unlocking a new category market share strategy that was statistically validated before leadership presentation.
No slides. No pitch deck. No proposal. Just the live scored output on a research topic you choose — in 15 minutes.
If it does not change how you think about focus group research — you never have to reply again.