That's a cool idea! So you're exploring how to scale qualitative user research while keeping the depth and context that makes it valuable.

Let me make sure I understand the problem space. It sounds like you're interested in building a tool that helps researchers (or teams) gather rich, contextual insights from users — but in a way that can scale beyond traditional 1:1 interviews.

A few key dimensions I'm picking up on:

• Depth vs. Scale tradeoff — how to get meaningful context without losing efficiency
• User input methods — what formats capture rich context best (async, interactive exercises, etc.)
• Synthesis challenges — how insights get aggregated and made actionable
• Target users — who would use this tool (researchers, product teams, founders?)

To design a useful exercise, I need to narrow down what you're most trying to learn. Which research angle would be most valuable for you right now?

Great choice — understanding who your users are and when they'd reach for this tool is foundational.

So the research question becomes something like: "Who would use a vibe-research tool for scaled contextual insights, and in what situations?"

This will help you understand your potential user segments, their workflows, and the triggers that would make them seek out a tool like this.

Let me check what interactive formats I can build for you.

I've got a few creative exercise ideas that could help you uncover who would use this tool and when. Each takes a different angle:

Love it. This exercise will have interviewees drag different user personas onto scenarios where they'd need scaled contextual insights. It'll reveal who they see as the primary users and what triggers would drive them to reach for this tool — plus their verbal commentary will tell us why they made those connections.

Let me build it for you.

Here's your exercise: Persona-Scenario Matching

How it works:

• Interviewees drag persona cards (UX Researcher, PM, Founder, Designer) onto scenarios where they think that person would benefit most from scaled contextual insights
• Same persona can be dropped into multiple scenarios
• They can click to remove a match if they change their mind

What you'll learn:

• Which user segments your interviewees see as the primary audience (by frequency of placement)
• Which use cases they consider most important (by which scenarios get filled first/most)
• The why behind their choices — the spoken commentary as they think through matches will give you the rich context about their mental models

The exercise is designed to provoke reflection and verbalization, so when they're deciding "does a PM really need this for stakeholder buy-in?", you'll capture their reasoning.

Want me to tweak the personas, scenarios, or try a different approach?