Expert Interviews: How to Plan, Recruit, and Run Them

An expert interview is a structured conversation with a subject-matter expert — a practitioner, domain specialist, or experienced operator — to compress months of learning into a single conversation. Where customer interviews tell you what users feel, expert interviews tell you how a domain actually works: its hidden rules, its standard playbooks, its common failure modes, and the things insiders take for granted but outsiders never see.

They are the fastest way to get up the learning curve in an unfamiliar market — and one of the most underused methods, because teams assume experts are hard to reach. This guide covers when to use expert interviews, how to recruit the right experts, the question techniques that separate a deep interview from a wasted hour, and how AI-native platforms like Koji let you scale expert input across many specialists at once.

When to use expert interviews

Reach for expert interviews when:

• You are entering an unfamiliar domain (a new vertical, regulation-heavy market, or technical field) and need to learn its landscape fast.
• You need the why behind the what — not just that a workflow exists, but why it evolved that way and where it breaks.
• You are validating feasibility or risk before committing — what will bite us that we don''t know to ask about?
• You want to pressure-test a hypothesis with someone who has seen many companies try and fail at the same thing.

Expert interviews complement customer research; they do not replace it. Experts know the domain, but only your customers know their own experience. Use experts to build the map, then use customer interviews to walk the territory.

How to recruit the right experts

The quality of an expert interview is set before it starts, by who you talk to. Look for:

• Hands-on practitioners, not just commentators. Someone who has done the job five hundred times beats someone who has written about it.
• Range of vantage points. Interview a few experts from different angles — a former operator, a consultant who has seen many companies, a vendor who serves the market — so you triangulate rather than absorb one person''s bias.
• Recency. Domains change. Favor experts whose hands-on experience is current.

Find them through your network, LinkedIn, industry communities, former colleagues, and warm introductions (always end every interview by asking "who else should I talk to?"). For breadth, expert panels and recruited specialist pools let you reach many at once.

How to structure an expert interview

A 45-minute expert interview works well in four phases:

1. Credibility and context (5 min). Understand exactly what their expertise is and where its edges are, so you can weight their answers correctly.
2. Landscape mapping (15 min). Have them lay out how the domain works: the key players, the standard process, the levers that matter.
3. Failure modes and edge cases (15 min). Where do companies get this wrong? What looks easy but isn''t? What would you warn a newcomer about?
4. Synthesis and pointers (10 min). Pressure-test your hypothesis, and ask for resources, frameworks, and other experts.

Expert interview question techniques

Experts reward sharp questions and punish lazy ones. Use these techniques:

• Ask for stories, not opinions. "Tell me about a time a launch like this went wrong" beats "What are best practices?" Stories carry specifics; opinions blur into platitudes.
• Probe the exceptions. "When does the usual advice not apply?" is where genuine expertise lives.
• Use informed naivety. Do enough homework to ask credible questions, then let yourself ask the dumb-but-important one: "Why is it done that way at all?"
• Quantify with anchors. "Out of ten companies that try this, how many succeed?" turns vibes into a number you can compare across experts.
• Challenge gently. "Another expert told me the opposite — how would you respond?" surfaces the real debates in a field.

Map expert interviews to structured question types

Even an expert interview benefits from a few structured anchors so you can compare what multiple specialists say. Koji supports six structured question types — open_ended, scale, single_choice, multiple_choice, ranking, and yes_no:

• open_ended for landscape mapping and failure-mode stories, with AI follow-up probing.
• scale for confidence or risk ratings ("How risky is this approach, 1–5?").
• ranking to have experts order the biggest risks or levers.
• single_choice / multiple_choice to standardize which tools, methods, or players they reference.
• yes_no for sharp directional reads ("Is this market consolidating?").

See the structured questions guide for how each type aggregates across interviews.

Avoiding the pitfalls

• Over-indexing on one expert. Even the best expert has blind spots and biases. Triangulate across several.
• Treating opinion as fact. Experts predict the future no better than anyone; weight their experience heavily and their forecasts lightly.
• Letting them stay abstract. Push every general claim down to a specific example.
• Skipping the homework. Experts disengage when you ask things a five-minute search would answer. Earn the deep questions.

How Koji scales expert interviews

The classic constraint on expert research is that senior people are busy and a live interview is hard to schedule. Koji loosens both. Its AI interviewer conducts expert conversations by voice or text, asynchronously, on the expert''s own time — no calendar coordination, no moderator — and automatically probes for the specifics and exceptions that make expert input valuable. That means you can gather input from many specialists in parallel instead of stretching one interview a week across a quarter.

Koji then analyzes every transcript automatically, clustering what experts agree on, flagging where they disagree, and surfacing the verbatim warnings and stories worth quoting — with your scale and ranking anchors aggregated into charts. Instead of one expert''s view filtered through your memory, you get a synthesized, evidence-grounded map of a domain from a panel of specialists, delivered as a shareable report.

Expert interviews vs secondary research

Before you book an expert, exhaust the cheap sources: industry reports, earnings calls, trade publications, public talks, and a focused literature search. Secondary research is free, fast, and tells you what is already documented. The point of an expert interview is to go past what is written down — to the judgment, the unwritten heuristics, and the candid "here is what actually happens" that no published source will print. Use secondary research to get smart enough to ask good questions, then use the expert to get the answers only experience can provide.

A practical division of labor: secondary research answers "what is generally true," and expert interviews answer "what is true here, now, and what would surprise a newcomer." Showing up having done your homework also earns you the deep questions — experts disengage fast from anyone asking what a five-minute search would answer, and lean in for someone who clearly respects their time.

Synthesizing across multiple experts

The real insight from expert research rarely comes from one interview — it comes from the pattern across several. Lay the transcripts side by side and look for three things: consensus (where experts agree, you can act with confidence), disagreement (where they split, you have found the genuine debate worth investigating), and outliers (a lone contrarian view that, if correct, changes everything). Weight hands-on experience heavily and confident forecasts lightly. Koji makes this synthesis automatic: it clusters where your experts align, flags where they diverge, and aggregates the confidence and risk ratings you captured into charts — so you leave with a defensible map of the domain rather than the opinion of whichever expert you spoke to last.

Related Resources

• Structured Questions Guide — the six question types and how each aggregates
• Requirements Gathering Interviews — eliciting needs from stakeholders and experts
• Customer Discovery Call: Questions & Template — the customer-facing counterpart
• Customer Interview Questions: 60+ Examples — a broad question bank
• AI Interviews vs Surveys — why conversational research beats static forms
• Generating Research Reports — turning interviews into shareable findings