How do you run customer interviews that prevent expensive mistakes?
In life sciences, it is surprisingly easy to build the wrong product. Not because the science is weak, but because many startups develop in isolation. They assume the market will automatically value their innovation once the data is strong enough.
That assumption kills companies quietly. Not with one dramatic failure, but with slow misalignment: the wrong features, the wrong target audience, the wrong proof points, and the wrong commercial story.
That is exactly what market validation research is meant to prevent.
Market validation is not a branding exercise. It is not “talking to a few people.” It is structured research designed to answer one question: is there a real market for this product, and what would it take for people to adopt it?
The most effective way to do this in life sciences is through customer interviews. Done correctly, interviews provide insight that surveys cannot capture: decision dynamics, adoption barriers, buying criteria, and the type of evidence stakeholders need before they take your product seriously.
This article explains how life science startups can run market validation interviews in a structured way, and how to turn the results into something you can actually use in product development and investor discussions.
What is market validation research in life sciences?
Market validation research is the process of confirming whether your product solves a real problem for a defined group of customers, and whether that group is willing to pay for it.
In practice, market validation answers questions like:
- What problem are we solving, in the customer’s words?
- How painful is that problem today?
- What alternatives do they currently use?
- What would trigger them to switch?
- What would make them trust a new solution?
- Who is involved in the decision-making process?
- What does “proof” mean in this market?
- What budget and purchasing pathway is realistic?
Without clear answers to these questions, your commercial strategy becomes guesswork. And in life sciences, guesswork is expensive.
Why market validation is critical in life sciences
Every startup has risk. Life science startups just have more expensive versions of it.
If you build the wrong SaaS tool, you can pivot quickly. If you build the wrong diagnostic, therapy, assay, or platform technology, you may have already burned through years of development and millions in funding before you find out nobody actually wants what you built.
This is why market validation research is especially relevant in biotech, medtech, diagnostics, and digital health:
1. The R&D investment is too high to “figure it out later”
Life science products are rarely built in weeks. They take years. If your product-market fit is unclear, you are not just wasting time; you are wasting money. You are wasting runway.
2. Adoption depends on proof, not enthusiasm
Even if stakeholders love the idea, they still need validation. Depending on the product, that could mean clinical data, technical benchmarking, regulatory alignment, or real-world evidence. If you do not know what “proof” means to your market, you cannot plan your roadmap properly.
3. Decision-making is complex
In life sciences, the person who uses your product is often not the person who buys it. Procurement, compliance, quality, regulatory, clinicians, lab managers, and executives may all influence the decision. If you validate your product with the wrong stakeholder, your research results will be misleading.
4. Science does not automatically translate into commercial value
Many founders assume the market will recognize innovation. In reality, the market recognizes outcomes: cost savings, workflow improvements, better safety, reduced risk, faster approvals, improved patient outcomes, or measurable performance.
Market validation helps you translate your science into a value proposition that investors and customers can actually evaluate.
Why customer interviews are the best method for market validation research
There are multiple ways to validate a market: surveys, desk research, competitor analysis, trend reports, advisory boards, or conference feedback.
All of these can be useful, but for life science startups, structured customer interviews are often the highest-value method early on. The reason is simple: your product is usually too complex to capture in a questionnaire.
Surveys can tell you what people claim to want. Interviews reveal why they want it, what stops them from adopting it, and the conditions they must meet before they even consider change.
A strong customer interview does not just answer “is there interest?” It answers questions like:
- What are they currently doing instead?
- What frustrates them about it?
- What would trigger them to change?
- Who needs to approve a switch?
- What would block adoption internally?
- What budget logic would apply?
- What evidence would they require before even discussing procurement?
This is the difference between surface-level validation and actionable validation.
What a customer interview is (and what it is not)
A customer interview is a structured conversation with a potential buyer or user, aimed at uncovering:
- real problems and priorities
- current workflows and alternatives
- decision-making and purchasing dynamics
- adoption barriers and validation expectations
It is not a sales pitch.
In fact, the fastest way to ruin your data is to start explaining your product too early. The moment you pitch, the interviewee shifts into polite mode. They will nod, smile, and tell you it sounds “interesting.” You will leave the call feeling confident. Then nothing happens.
Good market validation interviews are built around listening, not persuading.
Step-by-step: how to run market validation interviews properly
Step 1: Define the goal of your market validation research
Before you schedule any calls, you need clarity on what you are trying to validate. Treat it like experimental design. A vague research goal creates vague results.
Examples of strong goals:
- Validate whether lab directors experience a measurable bottleneck in workflow X
- Identify the top 3 buying criteria for adopting a new assay platform
- Validate willingness to run pilot studies and under what conditions
- Map decision-making roles and procurement process for target customers
- Determine what type of validation data is required before adoption
A weak goal is “see if people like our product.” That is not validation. That is looking for emotional reassurance.
Step 2: Set success criteria before you start
This is where most founders fail. They do interviews without defining what “success” means, and then interpret every polite response as proof of market demand.
Success criteria should be measurable. For example:
- At least 70% of interviewees confirm they experience the problem weekly
- At least 60% describe current solutions as insufficient
- At least 50% indicate budget exists for solving this problem
- At least 30% would consider a pilot within 12 months
- At least 80% mention the same 2 adoption barriers
This gives you a way to interpret your findings objectively.
Step 3: Define the target group (and be specific)
Life sciences is not one market. “Hospitals” is not a market. “Biotech companies” is not a market.
Your interview target group needs boundaries, such as:
- company type (biotech, pharma, CRO, CDMO, hospital lab, medtech)
- size (startup, mid-size, enterprise)
- geography (EU, US, specific countries)
- segment (cell and gene therapy, oncology, diagnostics, microbiology)
- maturity (preclinical, clinical, commercial)
Then define the stakeholder role you want to interview. The key question is not “who understands the science?” but:
Who influences adoption and who signs the budget?
Step 4: Recruit the right people (and avoid the easy trap)
The easiest people to reach are often the least valuable to interview. If you interview only friendly scientists, innovation managers, or junior staff, you will hear a lot of enthusiasm and very little reality.
Your priority should be:
- decision-makers
- budget owners
- people responsible for implementation
- stakeholders who have been burned before
Best recruitment methods:
- personal network
- warm introductions via investors, advisors, partners
- LinkedIn outreach (targeted and personalised)
- conference follow-up calls
- cold calling companies directly (still underrated)
Cold outreach is uncomfortable, but the truth is: if you cannot get access to your target market for interviews, selling to them later will be even harder.
Step 5: Write interview questions that produce usable data
Your questions must be open, non-leading, and designed to uncover reality. Avoid anything that pressures the interviewee to be polite.
Bad question:
- “Would you buy this solution?”
Good questions:
- “How are you currently solving this problem?”
- “What does that cost you in time or resources?”
- “What happens if it goes wrong?”
- “What frustrates you about your current approach?”
- “Who else is involved in the decision?”
- “What would you need to see before switching?”
- “What would make adoption impossible internally?”
A useful structure is:
- Current workflow
- Pain points
- Current alternatives
- Impact and urgency
- Decision-making process
- Validation requirements
- Budget logic
- Closing question: what would make this a priority?
If your interview does not include budget and decision-making, it is not market validation. It is product feedback.
Step 6: Conduct interviews consistently (but stay curious)
To compare interviews, keep the conditions consistent:
- same intro
- same order of topics
- same core questions
- same rating scales (if used)
But do not treat it like a rigid script. If someone reveals something important, follow it. The best insights usually appear when you ask:
“Can you explain that?”
“What happened the last time this went wrong?”
“Why is that such a problem internally?”
Record the interviews (with permission), then transcribe them. Otherwise you will rely on memory, and memory is unreliable even in people who swear they have “great recall.”
Step 7: Analyse your interviews like research, not like storytelling
Once interviews are complete, you need to turn qualitative input into structured output.
This is where coding comes in. Coding means tagging answers into categories, for example:
- biggest pain point: cost, time, compliance risk, performance
- current solution: in-house, outsourcing, competitor product
- adoption barrier: validation requirements, procurement, IT integration
- decision roles: user, influencer, budget holder, QA gatekeeper
- urgency score: low, medium, high
This allows you to quantify patterns. Not in a fake “scientific” way, but in a way that makes decision-making easier.
For example:
- 65% describe “validation burden” as the main adoption barrier
- 70% require benchmarking data before pilot discussions
- 40% say procurement cycle exceeds 12 months
Now you are not just telling a story. You have evidence.
Example: market validation using LupaTx
Imagine a startup called LupaTx, developing a non-invasive gene therapy for colour blindness.
The team assumes the problem is obvious. But market validation research forces them to confirm it.
A strong research goal:
Quantify how severe the unmet need is and what adoption criteria are required.
Per-interview success criteria might include:
- identify at least one major frustration with existing treatments
- determine what “acceptable risk” means for adoption
- map who decides on treatment choice (patient, clinician, insurer)
Overall success criteria might be:
- at least 75% rate the current unmet need as 7/10 or higher
- at least 50% indicate willingness to consider a new treatment if safety profile is strong
- at least 60% mention cost or reimbursement as key adoption barrier
Now the interviews have structure. You can test assumptions instead of collecting random opinions.
How to use market validation results (so they actually matter)
Market validation interviews should lead to concrete outcomes. Otherwise, you just had a series of interesting conversations.
There are two main uses:
1. Improve your product and roadmap
If your market consistently demands non-invasive solutions and your product is invasive, you have a strategic problem. Either you redesign, or you reposition toward a segment where invasiveness is acceptable.
Validation interviews help you identify what must be true for adoption.
2. Strengthen your commercial and investor story
Investors do not just want to hear that your product is innovative. They want to know:
- who will buy it
- why they will buy it
- how painful the problem is
- what adoption pathway exists
- what proof the market expects
Market validation research gives you language and evidence to support that story. It also helps you avoid generic claims like “large market opportunity,” which everyone says and nobody believes anymore.
Common pitfalls in market validation interviews (and how to avoid them)
1. Talking to the wrong people
If you only interview scientists who love new technology, your results will look great. That does not mean the market will buy.
Fix: include decision-makers, budget owners, and implementation stakeholders.
2. Asking biased questions
If you ask “would you buy this?” you will hear “maybe,” which founders interpret as “yes.” It is meaningless.
Fix: ask about current behaviour, switching triggers, and constraints.
3. Pitching instead of researching
The more you talk about your product, the less useful the interview becomes.
Fix: talk less. Ask more. Let them describe the world as it is.
4. No success criteria
Without success criteria, you can interpret any interview outcome as positive.
Fix: define what must be true before you do the first call.
5. Collecting insights but doing nothing with them
Interviews only matter if they lead to sharper positioning, clearer messaging, and smarter roadmap decisions.
Fix: code results, quantify patterns, and turn them into strategic actions.
Conclusion? Customer interviews are the fastest way to reduce commercial risk
Market validation research is one of the smartest things a life science startup can do early. It saves time, money, and painful pivots later.
Customer interviews are especially valuable because they reveal what surveys cannot: decision-making complexity, adoption barriers, and what proof the market actually requires. When done in a structured way, they give you usable evidence for both product strategy and investor discussions.
If you treat market validation like proper research, you do not just learn whether your product is interesting. You learn what it takes to make it adoptable.
And that is what separates a strong biotech company from an expensive science project.
Want a structured market validation process for your startup?
At JPP, we run market validation interviews for life science startups and translate the findings into practical outcomes: a sharper value proposition, clearer target audience definition, and a commercial story that investors and partners actually take seriously.
If you want to validate your market properly, without wasting months talking to the wrong people, reach out to us.
