research-interview

Elicit stakeholder knowledge and define problems with epistemic tracking.

2|1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/Agentient/vibekit --skill research-interview
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-interview
Source: https://github.com/Agentient/vibekit/tree/main/plugins/research-tools/skills/research-interview
Command: npx skills add https://github.com/Agentient/vibekit --skill research-interview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a repeatable framework for extracting stakeholder knowledge, clarifying problems, and capturing domain knowledge with traceable confidence across research initiatives.

Core Features & Use Cases

  • Epistemic tracking to record confidence levels for findings.
  • Structured interview workflow supporting problem definition and requirements gathering.
  • Triggers and prompts to elicit domain knowledge and stakeholder input.
  • Outputs can be generated as PROBLEM-STATEMENT, REQUIREMENTS, or KNOWLEDGE-CORPUS for downstream analysis.

Quick Start

Initiate a research interview on the selected topic and enable epistemic tracking to generate a structured problem definition and requirements set.

Frequently Asked Questions about research-interview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct a research interview to capture domain knowledge and define problems?

To conduct a research interview for domain knowledge capture, use a structured workflow that elicits stakeholder input and applies epistemic tracking. This generates traceable problem definitions and requirements sets with explicit confidence levels.

What is epistemic tracking in requirements gathering and stakeholder interviews?

Epistemic tracking in requirements gathering is the process of recording explicit confidence levels for elicited findings. It ensures stakeholder knowledge capture includes traceable gaps, producing a reliable knowledge corpus for downstream analysis.

What's the best way to structure outputs from stakeholder knowledge elicitation?

The best way to structure outputs from stakeholder knowledge elicitation is to generate standardized formats like PROBLEM-STATEMENT, REQUIREMENTS, or KNOWLEDGE-CORPUS. These structured outputs include explicit confidence levels and traceable gaps for clear problem definition.

Can I use this structured interview framework for requirements gathering without prior coding?

Yes, you can use this structured interview framework for requirements gathering without prior coding. It requires no dependencies, allowing you to immediately initiate a research interview to elicit domain knowledge and produce structured outputs.

Are there limitations to using automated epistemic tracking for problem definition?

A limitation of using epistemic tracking for problem definition is that it relies entirely on the accuracy of elicited stakeholder input. The framework highlights traceable gaps and confidence levels, but cannot validate the underlying domain knowledge independently.