Product research
Planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes.
What it does
Planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes.
This is a reusable SKILL.md workflow from Alireza Rezvani. It gives an AI agent task-specific instructions to follow when you ask for this kind of work. The source page contains the full workflow, requirements, and any supporting files.
How to try it
- Read the original skill.
Check that the workflow fits your task, and review any tools, accounts, or permissions it needs.
- Follow the publisher’s setup guide.
Installation depends on your agent. Use the source repository’s instructions and include any required supporting files.
- Give your agent a concrete task.
Describe your goal and provide the relevant inputs. Try a small, reversible example and review the result.
The explanation is based on the publisher’s skill metadata. The source file was retrieved on 25 Sep 2026; we have not executed or independently validated the skill. Agent compatibility and any paid service requirements should be checked upstream.