AI User Interview Analysis Template

Each interview is analyzed using user research best practices and structured into unbiased, evidence-based fields that bring clarity and rigor to discovery and decision-making.

• The Problem Summary captures the core challenges and jobs-to-be-done expressed by the user. Rather than focusing on isolated complaints, this field clarifies what the user is fundamentally trying to accomplish and where the gap lies between expectation and reality.
• The Impact field makes urgency visible. It outlines what happens if the problem remains unsolved — whether that means churn risk, slowed workflows, lost revenue, internal frustration, or stalled growth. This helps teams understand which problems are inconvenient and which are critical.
• The Workflow section documents how the issue is currently managed. It describes the steps, tools, and people involved so product teams can see the broader system around the problem. This context prevents surface-level fixes and encourages solutions that fit into real-world processes.
• The Delight field analyzes how the user responds to a proposed solution, feature idea, or positioning. It captures enthusiasm, hesitation, skepticism, or indifference. These emotional signals are often the strongest indicators of product-market fit.
• The Decision Timeline clarifies how soon change is needed. Whether the user sees the issue as urgent, important this quarter, or simply a future improvement, this insight helps separate immediate priorities from longer-term opportunities.
• Finally, Adoption Risk highlights what might prevent successful implementation. Budget constraints, technical complexity, stakeholder resistance, or change fatigue often surface during interviews. Identifying these risks early ensures that solutions are not only desirable but realistic.

When interviews are structured consistently, patterns emerge faster. Urgency becomes visible. Emotional signals become measurable. And roadmap discussions shift from opinions to evidence.