Project & Organization Context

AI is only as good as the context it has. When you're researching a complex product, exploring a specific market segment, or building on previous research findings, the AI needs that background to ask smart questions and generate relevant insights.

Project and Organization Context lets you provide exactly that.

What is context?

Context is background information that helps the AI understand your research environment. This might include:

• Product documentation: Feature descriptions, user flows, terminology definitions
• Company background: Industry, customer segments, competitive positioning
• Research objectives: What you're trying to learn and why
• Previous findings: Insights from past studies that should inform new research
• Domain knowledge: Industry-specific information the AI should know

How to add context

In your organization or project settings, you'll find a new "Context" section. Here you can add markdown or JSON content that will be used by the AI across all research activities in that scope.

Organization-level context applies to everything in your organization. Project-level context applies to all studies within that project. This hierarchy lets you set broad context once and refine it per project.

How context improves research

When context is set, the AI uses it to:

• Ask better questions: Understanding your product helps the AI probe relevant areas
• Generate relevant insights: Context helps distinguish meaningful findings from noise
• Use correct terminology: The AI mirrors your language rather than generic terms
• Connect findings: Previous research context helps the AI identify patterns across studies

Example use cases

SaaS product research: Add documentation about your features, user personas, and known pain points. The AI will ask questions that map directly to your product experience.

Healthcare research: Include relevant regulatory context, patient journey information, and terminology guidelines. The AI will navigate sensitive topics appropriately.

Competitive research: Add information about competitor products and positioning. The AI will probe for comparative insights naturally.

Context persists

Once set, context persists across all studies in that scope. You don't need to re-explain your product for every new research guide—the AI already knows.

This feature is especially valuable for teams running ongoing research programs. Set up your context once, and every study benefits from that foundation.