Stakeholder Interview Scripts & Process

Use structured conversations—not guesses—to discover real problems, hidden opportunities, and prioritized AI use cases. This practical toolkit gives teams reusable interview scripts, note-taking and analysis templates, and an interactive form option to collect comparable input across stakeholders so you can move from “can AI do this?” to “should we build this—and why?”

What you will understand and accomplish

Working with these scripts and templates you will:

• Run consistent, bias-aware interviews that surface real pain points, workarounds, and desired outcomes.
• Capture answers in a structured way so responses are comparable across roles, sites, or departments.
• Turn qualitative interviews into themes, evidence-backed use cases, and simple prioritization inputs for an AI Opportunity Audit.

Who benefits

This resource is designed for product managers, improvement teams, consultants, operations leads, and small-to-midsize business owners—plus researchers, clinicians, shop-floor supervisors, and nonprofit leaders—anyone who must reliably discover user needs before investing in automation, analytics, or AI pilots.

Why stakeholder interviews matter for AI projects

Interviews are the primary tool for moving from assumptions to evidence. Good interviews expose hidden workarounds, frequency and impact of problems, and constraints that affect feasibility and value. When combined with the AI Opportunity Audit, structured interview results help you prioritize projects that save time, reduce cost, or improve decisions without creating tool sprawl or wasted pilots.

What’s in the toolkit

The collection includes:

• Ready-to-run interview scripts tailored for technical, operational, and customer-facing stakeholders.
• Note-taking templates and an analysis workbook to compare responses, extract themes, and generate candidate use cases.
• An interactive interview tool and templates that capture structured responses for later analysis (useful when hosted on the platform).

How to use it—practical steps

Follow a simple, repeatable process:

1. Define the decision you want the interviews to support (e.g., reduce technician travel time, automate invoice routing, improve patient intake).
2. Recruit a representative sample of stakeholders across roles, sites, and customer types.
3. Use the scripts to run 30–60 minute interviews; record notes consistently with the provided templates.
4. Populate the analysis workbook, look for recurring themes, frequency, and impact statements, and translate them into candidate AI use cases.
5. Validate top candidates with quick observations or data checks, then feed validated candidates into an AI Opportunity Audit for scoring and prioritization.

Practical examples

- A restaurant manager uses the scripts to discover how order changes create rework and generates a prioritized list of automation opportunities for kitchen routing.

- A maintenance supervisor interviews technicians to quantify downtime causes and surface a high-impact predictive-maintenance pilot idea.

- A community health clinic collects intake-staff interviews to identify repetitive documentation tasks that could be simplified or automated.