The Whale Team · 27 July 2026 · 7 min read
AI Co-Creation for Research: Bringing Participants Into the Creative Process
Understand how guided AI co-creation can help research participants express, visualise, refine, and explain ideas that become richer evidence for teams.

AI co-creation in research invites participants to create, visualise, edit, and refine ideas instead of only answering questions or reacting to finished concepts. The value is not just the final output: prompts, edits, rejections, and explanations can provide a richer view of the needs, language, emotions, and preferences behind it.
Why asking alone is not always enough
People often have useful experiences and preferences that are difficult to put into a survey response or a short interview answer. They may know a product moment feels awkward, a category promise feels empty, or an imagined future should feel calmer, but not have the words or visual language to describe it fully. Traditional methods can capture the response while leaving some of the imagination behind it inaccessible.
Co-creation gives people a way to work with an idea. Rather than asking them to approve a finished concept, it can invite them to make, choose, edit, or explain. That does not make every participant a designer. It gives them a more direct route from thought to expression.
AI can reduce the friction in that route when it is guided carefully. It can help participants visualise a prompt, explore an alternative, or refine an output in response to their own intent. The research team gains material to discuss and a clearer view of how the participant arrived there.
Design a guided creative experience
A useful co-creation task begins with a clear research question. Are you exploring unmet needs, new product rituals, a future service, the emotional role of a category, or the language around a brand? The task should invite imagination while staying close enough to the question that the resulting material is interpretable.
Break the experience into manageable prompts. Ask participants to choose a starting point, describe what they would change, visualise a preferred outcome, and explain why they kept or rejected elements. Each step should be understandable without specialist knowledge and should offer permission to be imperfect.
Whalets are Whale’s mobile-first AI co-creation tools for this kind of research. They can guide participants through creating, visualising, editing, and refining ideas, while preserving the prompt and iteration as part of the evidence available to a team.
- Start with a focused context or stimulus.
- Invite the participant to create or change something.
- Ask what they kept, rejected, or would improve.
- Capture the explanation alongside the resulting build.
- Review patterns across the full creative journey, not only final images.
Treat the journey as evidence
A final image or concept is only one piece of a co-creation response. A participant’s first prompt may reveal their instinctive language. An edit can show what felt missing. A rejection can uncover a category concern. An explanation of a choice can connect the output to lived experience. Together, these moments create a more useful evidence trail than a simple like-or-dislike response.
This is particularly valuable when teams need to understand ambiguity. Two participants may choose similar outcomes for different reasons, or make very different images while expressing the same underlying need. Reviewing the process helps researchers identify those relationships instead of over-reading visual similarity.
The evidence still needs interpretation. Use a clear coding and synthesis approach, look for recurring patterns, and retain enough context to avoid treating a single creative response as a market conclusion. Co-creation adds richness; it does not remove the need for research judgement.
Connect participant creativity to team decisions
The value of participant co-creation increases when it can travel into the next stage of work. Research teams can bring participant builds, explanations, and themes into a live collaboration room, where strategists and creatives can examine what they signal for an opportunity or route.
That connection helps creative teams see more than a top-line finding. They can encounter the language, imagery, and trade-offs participants used, then use those signals to inform ideaboards, storyboards, concepts, or stimulus for further learning.
The outcome should be a respectful translation of participant input, not a claim that generated material is a finished solution. Whale helps preserve the thread between participant expression, workshop synthesis, and creative development so that teams can make that translation with more care.
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