Market Research · Survey Methodology
For the first time —
statistically significant WHY.
Your surveys already deliver statistically validated WHAT.
The verbatim box has always given you WHY — but with zero statistical weight.
That gap has existed for 50 years. We closed it.
The problem
Every survey has had this problem.
For 50 years, market research has delivered statistically significant WHAT and analytically summarised WHY.
One of those is evidence. One is a guess.
WHAT
Quantitative Output
✓ Statistically Significant
- ✓Ratings, scores, rankings — validated
- ✓Representative of your full sample
- ✓Leadership can act on this
- ✓Numbers that drive investment decisions
VS
WHY
Verbatim Box Output
✗ Analyst Themes Only
- ✗"Speed was mentioned frequently"
- ✗"Value seen as important by several respondents"
- ✗No scores. No reach percentage. No validation.
- ✗Leadership hesitates to act on this
"Insight Lag" — P&G's term for what happens when the WHAT is statistically validated but the WHY is not.
It delays every decision. It ends every insights presentation with "further research recommended."
It has been the defining limitation of market research for half a century.
The industry has named it
They are describing Hybrid QualQuant Survey.
They just do not know it exists yet.
P&G
CMK · Insight Lag Initiative
"Most surveys provide the WHAT but fail to scale the WHY fast enough to keep up with innovation. This creates an Insight Lag that delays every decision."
Named it: "Insight Lag"
Unilever
Precision Wellness Initiative · North America
"Standard surveys provide the WHAT but lose the WHY at scale. Relying on 20th-century survey logic to solve 2026 AI-age problems is a direct margin risk."
Named it: "Margin Risk"
PepsiCo
PBNA · Marketing Transformation
"Legacy research agencies have kept the speed benefits of digitalisation behind closed doors. Traditional survey models are a direct roadblock to agility."
Named it: "Agility Roadblock"
The solution
The Hybrid QualQuant Survey delivers statistically significant WHY from the same survey, same fieldwork, same cost — for the first time.
Not a separate qualitative study. Not a focus group. Not a text analytics tool working on data after fieldwork.
An upgrade that runs inside your existing survey — delivering statistically validated qual and quant simultaneously.
How it works
Three stages. One survey.
The respondent experience barely changes. The output changes completely.
01
Stage One
Standard Quantitative Questions
Where the survey begins — and looks familiar
Demographics, ratings, Likert scales, brand awareness. The quantitative survey format every respondent recognises. Nothing has changed from the traditional experience here.
Traditional survey starts here
02
Stage Two
Open-Ended Verbatim Entry
Where traditional surveys stop
One open-ended question. Respondent types their verbatim response. Traditional surveys end at this point — an analyst reads the responses and produces themes. Hybrid QualQuant continues.
Traditional survey ends here
03
Stage Three
New
Peer Consensus + KPI Validation
Where the WHY gets statistically validated
Respondent sees 8 randomly selected peer verbatims. Selects those they relate to. Rates each on strength 1–10. KPI matrix validates actionability. Delphi algorithm calculates a Market Potential Score for every verbatim in real time.
★ This stage is new. This is the gap closed.
Delphi Engine: Market Potential Score = Reach (% selecting) × Strength (avg rating 1–10) · Calculated in real time for every verbatim
The output
What your leadership sees in the debrief.
Not themes. A statistically validated, ranked, scored insight list — ready to act on the day fieldwork closes.
Turnaround speed is blocking agile decision-making
Reach: 74% · Strength: 8.4 · ISS: 91
Real-time qual feedback needed during live campaigns
Reach: 68% · Strength: 8.1 · ISS: 84
Leadership requires numbers not themes from qual data
Reach: 71% · Strength: 7.6 · ISS: 82
Separate qual/quant studies no longer justifiable on budget
Reach: 65% · Strength: 7.8 · ISS: 78
Insights arrive after the decision window has closed
Reach: 62% · Strength: 7.5 · ISS: 75
Low MPS
Market Potential →
High MPS
Top-right quadrant = board-level action. Every insight plotted by Market Potential Score and KPI Actionability Score.
Trusted for 25 years by
Samsung
P&G
PepsiCo
Unilever
Nestlé
L'Oréal
Best Buy
T. Rowe Price
Air France
Black & Decker
25+
Years Proven
In continuous commercial use
10×
Faster Output
Versus traditional qual study
100%
Stat. Significant
Every verbatim validated
Same
Cost & Timeline
As your existing survey
One ask
15 minutes.
No slides. No pitch. No proposal.
Just the live scored output on a topic you choose.
Your next survey. Statistically significant WHY. Live.
If it does not change how you think about survey design — you never have to reply again.
Book 15 Minutes
Samsung · P&G · PepsiCo · Unilever · Nestlé · L'Oréal · Best Buy · T. Rowe Price · 25 years
