AI ANALYSER · QUALITATIVE DATA
AI Qualitative Data Analysis for Market Research
Analyze every transcript, open end and recording as one data set, and trace every theme, insight and finding back to the respondent who said it.
TRANSCRIPTS · OPEN ENDS · RECORDINGS → ONE DATA SET
Summarizing findings
What was said, and how often
Identifying themes
The topics people raised
Deeper understanding
The motivations, needs and beliefs behind what people say and do
Hidden connections
The non-obvious links across the whole data set
Interpretation
What it all means, so you reach real insight
Traditional tools work at the surface. The AI Analyser is trained to go further.
REAL INSIGHT, NOT REPORTAGE
The most valuable material in qualitative data sits below the surface.
Traditional qualitative data analysis software is good at simple tasks such as summarizing findings and identifying themes. Our AI Analyser is trained to go further: it looks for deeper understanding and hidden connections, then interprets what it finds, so you see the full depth of the data and reach real insight.
ONE DATA SET
What it analyzes
Focus group and IDI transcripts, open-ended survey responses, social media content and previous client research, all brought together in a single analysis workflow. Upload files as PDF, Word, PowerPoint or Excel.
To steer the analysis, add the client brief and the discussion guides used in fieldwork, then either set an agreed analysis framework or simply outline the objectives.
One data set
Every source read together, with every theme traced back to the respondent behind it.
COMPLETE COVERAGE
Every interview, read in depth
A human analyst on a deadline reads twelve of sixty transcripts properly; the Analyser reads all sixty. It codes every interview and every response in depth, not a sample, so nothing is lost to time pressure.
One coding frame across the project
Consistent qualitative coding across every interview and group, with no drift between batches.
BELOW THE SURFACE
What it looks for
insight lenses the model is trained on, such as tensions and contradictions
AI thematic analysis
Themes coded consistently across the whole data set, each one traced to the respondents behind it.
Deeper meaning
The motivations, needs and beliefs behind what people say and do.
Deep insight
The model is trained on more than 80 insight lenses, such as tensions and contradictions, to surface what a straight reading misses.
Connections and patterns
The non-obvious links across the data, not just a list of what everyone said.
Qual linked to quant
On mixed-methods projects, findings are cross-referenced so an open end can be read against the data tables.
WHAT YOU GET
Key outputs
Topline summary
Ready for you to review within minutes of the data going in.
Insight analysis
Findings drawn from every corner of the data, not just the most frequent themes.
Alternative interpretations
Each one with the evidence that supports that reading.
Provocations
Challenges to the obvious reading that push your thinking further.
Hypotheses and questions tested
The evidence for and against each hypothesis or question you set.
Strategic implications
What the client should do and why, supported by the data.
TRACEABILITY
Traceability and researcher review
Every conclusion links directly back to source evidence, so AI qualitative research holds up when a client asks how you know. You can test a hypothesis against the full data set, refine an output or discard a weak assertion, and there is always a trail rather than a chat log. The researcher directs the analysis and owns the interpretation; qualitative analysis AI widens what you can see, not who decides what it means.
Switching is driven by trust, not price
TRACED TO 3 SOURCES →WHERE IT FITS
Use cases
AI interview analysis
Depth interviews across markets, read for recurring needs and for the single remark that reframes the story.
AI focus group analysis
Group dynamics, dissent and what goes conspicuously unsaid, across every session.
AI-moderated interview analysis
Large volumes of transcripts from AI-moderated platforms, analyzed with the same depth as a handful of human-led IDIs.
Open-ended survey analysis
Thousands of verbatims coded to a consistent frame and linked to the closed questions.
SPECIALIST, NOT GENERIC
Why not a generic assistant?
Generic AI assistants take data in batches, so coding frames drift, two runs return two different theme structures, and themes cannot be reliably traced to the people who produced them. Insightology’s AI qualitative data analysis is built for agency work: consistent and auditable, and through the Agency Vault it learns your agency’s best-practice analysis approaches and tools.
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