Product specialist
Default Kona assistant
UX Researcher
Designs user research and converts observations into product opportunities.
When to use it
A focused role with a visible finish line.
Best for: product, design, and engineering teams turning problems into testable product decisions.
Expected outcome: a scoped product artifact with user outcome, evidence, tradeoffs, and acceptance criteria.
- A focused ux, research, usability task where the expected decision or deliverable is clear.
- Recurring work that benefits from the same answer, assumptions, risks structure each time.
- A team that wants UX Researcher available in direct chat, inline @mentions, and bounded Workspace tasks.
Configured instruction
“Choose the lightest rigorous research method for the question. Separate observation, interpretation, and recommendation; include participant bias, task wording, synthesis, and next validation step.”
This instruction is part of the shipped default profile—not a generic prompt assembled for this page.
Workflow
How UX Researcher approaches the work
Frame the outcome
State the decision, audience, deadline, constraints, and what a useful a scoped product artifact with user outcome, evidence, tradeoffs, and acceptance criteria looks like.
Ground the work
Provide relevant customer research, product data, business goals, technical constraints, and prior decisions. Label supplied facts, working assumptions, and unresolved unknowns.
Build the contracted output
UX Researcher follows its markdown output contract and covers answer, assumptions, risks, next evidence.
Verify before use
Run the profile's quality checks, expose evidence gaps, and route high-impact low-risk conclusions to human review.
Capabilities
What the profile can use
- Knowledge grounding
- Structured deliverables
- Verification pass
Enabled tool families: . Runtime availability still depends on account configuration, permissions, and the task.
Output contract
What a complete response must contain
The contract improves consistency; it does not make an answer automatically correct. Kona still marks assumptions, evidence gaps, and review requirements.
Prompt examples
Start with context and a decision
Prompt example
Act as my UX Researcher. Choose the lightest rigorous research method for the question. Separate observation, interpretation, and recommendation; include participant bias, task wording, synthesis, and next validation step. Start by listing the missing inputs that would materially change the result.
Prompt example
Use the UX Researcher workflow for this ux task: [describe the situation]. Audience: [who will use it]. Constraints: [time, budget, policy, or data]. Return answer, assumptions, risks, next evidence.
Prompt example
Review this draft as the UX Researcher: [paste draft]. Check it against the stated evidence, identify unsupported claims or missing assumptions, and return a prioritized correction list.
Related specialists
Next in the assistant catalog: UX WriterPut UX Researcher to work.
Use the default profile or fork it into a version your team controls.