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Q3 Brand Tracker2,148 responses
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Overview → Crosstabs → Generate
Total respondents
2,148
1,906 qualified
Completion rate
88.7%
avg 6m 12s
Cities reached
286
across 21 states
Avg quality score
94/100
auto-cleaned
Responses over timecollection pace
Top locations
Mumbai
Delhi
Bengaluru
Hyderabad
Chennai
Age distribution
18–2422%
25–3438%
35–4426%
45+14%
Gender distribution
Female58%
Male42%
Income distribution
Under ₹5L34%
₹5L–15L41%
₹15L+25%
Ask AI

Ask your data anything, in plain language

Type a question the way you would ask a colleague. Flickly reads every response in the survey, who completed it, what they answered, and how the logic routed them, then replies with the number and the chart to back it up.

What are the headline findings from this survey?
How do men and women differ in their answers?
Why were respondents eliminated, and does it bias the results?
Flickly Digest
Ask anything about this survey's data
How do men and women differ on which ghee they trust most?
Women lean toward loose / local ghee at 41% versus 29% of men, a statistically significant gap. Men are more likely to trust branded ghee (48% vs 37%).
Trust by gendersig. difference
Branded ghee
48% men
37% women
Loose / local ghee
29% men
41% women
Ask about this survey's results
Product quality ratingsplit by gender
OverallMaleFemale
Excellent32%28%36%
Good41%44%38%
Average18%19%17%
Poor9%9%9%
Flagged cell is a statistically significant difference. Click any cell for exact counts and context.
Crosstabs

Cross-tabulate any question. See what actually moves

Break any question down by gender, location, income, age, or against another question. Statistically significant differences are flagged automatically, so real patterns stand out from the noise instead of hiding in the table.

Click any cell for a detail view with exact counts, percentages, and how it compares to the overall average.

Every question, visualized

Charts built for you, the moment data lands

Bar charts

Age distribution, top locations

Line charts

Responses over time, pace

Pie charts

Gender, income split

Donut charts

Qualified vs disqualified

Every filter leads to the finished insight

Filter and clean the whole dashboard in one place, then let Flickly write the story for you.

Filtering by audience segment
Splitting by gender, location, income & age
Applying date range & qualification status
Comparing average time taken vs expected length
Writing key findings for every question
Surfacing notable demographic differences
Recommending follow-up research questions

The numbers are already clean

Every response is scored the moment it lands, so low-effort, rushed and mechanical answers never reach your report. No manual scrubbing before you brief stakeholders.

Decision
Intelligence
Auto-scored
% Qualified
Quality score
DQ rate
Why removed
Screener funnel
Auto-scored

Scored automatically, in the background

Every response is checked for quality the moment it lands — straight-lining, speeding, low-effort text and mechanical patterns. No manual cleaning required.

Walk out with a ready-to-use report

Once the data is analysed, download the whole story as a polished Word document or a client-ready presentation. Nothing to format, nothing to rebuild.

Executive report.docx
Document / report
Results deck.pptx
Presentations

Frequently asked questions

How do you analyze survey results in Flickly?

Can Flickly create crosstabs to compare audience groups?

Does Flickly flag statistically significant differences?

What insights does Flickly generate automatically?

Are survey results available in real time?

Can I break survey results down by demographics?

What does Flickly show about response quality?