Field: Research
Research that makes thinking and action analyzable.
Reson8 conducts guided interviews and accompanies real tasks with AI. This creates not only answers, but transcripts, working paths and reflections that research teams can analyze and later use for audience work.
Reson8
Reson8 makes conversations and AI use analyzable.
Reson8 is a research instrument for guided AI interviews and studies in which people work with AI on real tasks. Conversations, working paths and reflections become a corpus that research teams can analyze.
Conduct conversations
Reson8 conducts guided interviews, stays with the research interest and asks adaptive follow up questions.
Observe AI use
When participants work with AI on a task, prompts, answers, adopted text and reflections become traceable.
Analyze material
Answers and working paths become material for themes, quotes, patterns, profiles and reports.
Reson8 · Research
The problem
Reach or depth.
A questionnaire reaches many people, but often stays on the surface.
The problem
Depth was hard to scale.
What people mean and why they act only becomes clear in conversation. Bringing that depth into breadth used to be the bottleneck.
Starting point
Reson8 starts with a research question.
You define the research interest. Reson8 conducts the conversations.
"How does our target group feel about sustainability?"
The conversation
An interview that follows up.
Reson8 asks the question, listens and asks suitable follow-up questions. The conversation adapts to every answer, and people speak freely in their own language, as in a real interview.
Example · Sustainability study
What does sustainability mean to you in everyday life?
I want to live more sustainably, but in everyday life convenience often wins.
In which situations does convenience win most often for you?
Reson8 · Research
Collection
One conversation becomes many.
Usually every interview is conducted, recorded and transcribed separately. Reson8 takes that on, making qualitative depth scalable.
Corpus
Many voices become a foundation.
All interviews form an ordered corpus that can be analysed across every conversation.
Reson8 · Research
Two paths
Two paths through the corpus.
Explore with AI support or work with the data yourself.
Main path
Explore with AI support.
AI-supported methods explore and interpret large datasets, also through an open interface for your own tools.
Option alongside
Or work with the data yourself.
Reson8 provides the raw data as an export, for analysis in MAXQDA or other tools.
Evaluation
What the AI analysis makes visible.
In the example: recurring patterns, a condensed synthesis, testable hypotheses and the quotes that support them.
Pattern
Sustainability is desired, but repeatedly fails because of everyday routines.
Synthesis
The target group is convinced, but not confident in action. The simple next step is missing.
Hypothesis
Offers are more convincing when they make the convenient path sustainable.
Quote
"I want to, but in the evening I still choose whatever is quickest."
Once target group data has been collected, new ideas, texts or products can be checked against that target group before they are tested in the real world.
We call this a resonance check: a check based on real target group data, not on freely invented personas.
Reson8 · Resonance check
Resonance check
Check before testing in the real world.
A resonance check plays an idea through against your real target group, based on collected data.
Profiles
The corpus becomes target group profiles.
What repeats in the data is condensed into a few clear profiles. Countless individual answers become tangible pictures of target groups.
The basis
The method is scientifically tested.
A simulated answer reliably reproduces human response patterns. Scientifically described and published after peer review.
Method evidence
~90% agreement relative to human test-retest reliability.
Method: Semantic Similarity Rating, a semantic resonance check.
Peer-reviewed · Frontiers in Language Sciences, 2026The check
A new idea against every profile.
Reson8 estimates for each profile how well the idea will land. You see before launch where it convinces and where it should be sharpened.
"An offer that makes sustainable everyday life easier."
Sharpen for one profile.
For inspiration
What Reson8 can understand for you.
A few examples of what Reson8 is used for.
Target groups
Understand target groups.
Learn what people really mean, what matters to them and where they are contradictory.
Organisation
Read the state of the organisation.
Use qualitative voices inside an organisation to see what works well and where things are difficult.
Development
Performance reviews and organisational development.
Collect structured reflections and analyse them systematically.
Ways of working
Check AI competence and ways of working.
Observe how people work with AI on real tasks, then learn from that material.
Experiential knowledge
Preserve implicit knowledge.
Capture employees' experiential knowledge in conversation before it is lost through retirement.
Resonance check
Check ideas against real data.
Test products, texts or messages against target group data before they go live.
Many more use cases can be added depending on the objective.
Bring us a real task.
A grant application, a review, a study or a recurring routine is enough to see where your knowledge can become effective fastest.
Book a conversation