Product Management interview prep.
PMs at digital health companies - telehealth, EHR-adjacent SaaS, virtual care, remote patient monitoring, digital therapeutics, AI / ML clinical tools, healthcare analytics.
What interviewers look for
- Can the candidate apply rigorous PM craft (discovery, prioritisation, metrics) to a healthcare context?
- Do they understand clinical workflow + how the product fits into a clinician's day, not just patient-facing UX?
- Are they fluent in healthcare buyers - provider, payer, employer, patient - + their distinct decision drivers?
- Do they take HIPAA + privacy + security as design constraints, not afterthoughts?
- Can they think evidence + outcomes - HEOR, RWE, clinical validation, when FDA applies?
- Are they comfortable with value-based care alignment - how does the product move the metrics?
- Long-game fit - GPM / VP product trajectory; comfortable with longer enterprise sales + regulatory cycles?
Behavioural questions to expect
Walk me through your background + PM experience.
What it tests: Story arc - PM training + craft + healthcare exposure if any.
Tell me about a product you've shipped or significantly contributed to.
What it tests: PM craft + outcome thinking + stakeholder navigation.
Why healthtech vs other tech sectors?
What it tests: Authentic alignment - mission, complexity, multi-stakeholder, longer cycles.
Why this product segment - telehealth / DTx / RPM / EHR-adjacent / analytics?
What it tests: Specificity. Generic answers fail.
Why this firm?
What it tests: Real homework - product, customer, traction, culture - not name-drop.
What's your read on our product + market?
What it tests: Industry literacy - product position, customer base, competitive picture.
Tell me what you understand about our compliance + evidence posture.
What it tests: HIPAA + evidence fluency - and this firm's specific posture.
Walk me through a product decision - feature / prioritisation / pivot.
What it tests: PM craft + clinical / outcomes alignment + stakeholder reasoning.
Technical concepts to master
PM craft adapted for healthtech
- Clinical-grounded discovery
- Discovery rooted in clinician + patient observation, EHR data, real workflow context - not just consumer-style interviews.
- Outcome-driven roadmap
- Prioritisation against clinical / financial / engagement outcomes, not just feature throughput.
- Enterprise sales partnership
- PM partners with sales + customer success in long enterprise cycles - co-discovery, deal commitments, customer onboarding.
- Compliance + privacy by design
- Treating HIPAA + privacy as design constraints + opportunities from day one.
HIPAA + privacy + security for PMs
- PHI (Protected Health Information)
- Individually identifiable health info covered by HIPAA - includes most data linked to patients.
- Business Associate Agreement (BAA)
- Contract between covered entity + vendor handling PHI - codifies HIPAA obligations.
- Minimum necessary + de-identification
- HIPAA requires use of minimum necessary PHI; Safe Harbor + Expert Determination methods for de-identification.
- Breach notification + audit log
- HIPAA + state laws require notification of unauthorised PHI disclosure; comprehensive audit logging required.
Clinical workflow + EHR integration
- Clinical workflow analysis
- Systematic mapping of clinician + patient + admin steps - identifying friction + automation opportunity.
- FHIR + SMART on FHIR
- FHIR REST API + SMART on FHIR app launching standard - modern EHR interop.
- Alert fatigue + decision support
- Excessive alerts cause clinicians to ignore - smart, contextual, well-calibrated alerts work.
- Pre-visit + intra-visit + post-visit
- Workflow phases - each with distinct user actions + product opportunities.
Value-based care alignment + outcomes evidence
- Value-based care metrics
- HEDIS, MIPS, CMS Stars, ACO quality measures - the metrics that drive payer + provider economics.
- HEOR + economic modelling
- Health economics + outcomes research - cost-effectiveness, budget impact, productivity, QoL.
- Real-world evidence (RWE)
- Evidence from claims, EHR, app usage data on real-world effectiveness + engagement.
- Clinical validation studies
- Prospective or retrospective studies validating product effect on clinical outcomes.
Practical drills
- You're PM for a clinician-facing diabetes management product. Engineering wants to ship a new ML-driven alerting feature. Clinical advisory says alert fatigue is already a major concern. Sales wants the feature for a key payer deal. Walk through your decision.
- You're tasked with designing a new pre-visit patient intake feature for a primary care telehealth product. Walk through your design process - discovery, design, validation.
- A major self-insured employer prospect asks for clinical + financial outcomes evidence before signing a 5-year deal. You have RCT data on engagement + a small retrospective claims analysis showing 12% ED reduction. Walk through your response.
Smart-question anchors
- Product + segment - patient / provider / payer / employer mix, recent feature releases
- Clinical workflow + EHR integration - depth + partnerships
- Compliance + privacy posture - certifications, breach history
- Outcomes + evidence - published studies, RWE program
- Buyer + commercial model - enterprise vs DTC, contract structure
Sourced from
- HHS HIPAA Privacy + Security Rules + Breach Notification Rule
- ONC Cures Act + Information Blocking + FHIR Standard
- HITRUST CSF + SOC 2 + FDA Pre-Cert SaMD documentation
- Rock Health + CB Insights digital health market reports
- Marty Cagan + Lenny Rachitsky + classic PM craft references
Ready to Generate Your Own Prep?
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