Growth product management drives retention and clinical adherence through behavioral design and outcome measurement built for regulated products. We ship features that get used, not just features that pass review.
Clinically sound products with no engagement system to keep people using them
Most health and wellness platforms spend their product cycles on feature development and clinical validation, then treat retention as a marketing afterthought. A health app only produces a health outcome if someone opens it on day 30, not just day 1. Without a deliberate engagement system – onboarding, habit triggers, re-engagement flows – even a clinically rigorous product churns before it can show results.
Consumer growth tactics don't survive contact with medical compliance
Gamification, aggressive push notifications, and social sharing loops that drive retention in consumer apps run into HIPAA, patient privacy rules, and medical advertising restrictions the moment they touch health data or clinical claims. A growth playbook lifted from a consumer app either gets flagged in legal review or watered down until it stops working. Health product teams need retention mechanics designed inside the compliance boundary from the start, not bolted on after.
Engagement metrics and clinical outcomes are tracked in separate systems that never talk
Product analytics live in Amplitude or Mixpanel. Clinical or outcome data lives in an EHR, a claims feed, or a separate research database. Without a shared measurement layer, a product team can watch usage climb while having no idea whether outcomes are actually improving – or worse, ship an engagement win with zero clinical value. That gap is the single biggest reason health product roadmaps get built on the wrong priorities.
We start with a compliance map: what retention tactics are actually available to you given your data classification, your state, and your clinical claims, and what's off the table. That map becomes the boundary the rest of the engagement design works inside, so nothing we build later has to get ripped out in legal review.
From there we build a single measurement layer that ties product engagement events to whatever outcome data you have – adherence logs, PRO surveys, claims data, biometric syncs. This is the piece most health product teams skip, and it's why growth work in this space usually optimizes the wrong thing: without it you're guessing whether a retention win is actually a health win.
On the product side, we design habit-formation mechanics appropriate for a health context – onboarding sequences that build a routine in the first two weeks, adherence nudges tied to clinical milestones rather than generic streaks, and re-engagement flows triggered by actual lapse risk instead of a blanket inactive-user email. Every mechanic gets checked against the compliance map before it ships.
We don't hand off a strategy deck and leave. We embed with product, clinical, and compliance stakeholders through implementation, because the fastest way a good growth idea dies in a health company is getting stuck between three teams that don't normally talk to each other. Our job is to keep the growth backlog moving through legal, clinical, and engineering without losing the point of the feature along the way.
Most health products don't have a retention problem and a compliance problem – they have one problem: nobody built the measurement layer that shows which retention tactics actually move a clinical outcome inside the rules you're allowed to operate in.
Our engagement moves in three phases over roughly 90 days. Weeks 1-2 are the compliance and data audit – what retention levers are open to you, what outcome data already exists, and where product analytics and clinical data currently fail to connect. Weeks 3-6 build the measurement layer and the first set of engagement mechanics designed inside your compliance boundary. Weeks 7-12 are implementation: features ship, we track usage and outcome data side by side, and we adjust based on what the joined data actually shows rather than engagement metrics alone.
The difference from a standard growth product engagement is sequencing. Most growth consultants start with tactics – what will move activation or retention this sprint – and treat compliance as a filter applied afterward. We start with the boundary and the measurement layer, because in a regulated product, a tactic that gets killed in review three weeks after launch is worse than never building it. Getting the constraints right first is what lets the tactics actually ship and stay shipped.
First 30 days: compliance and data audit, plus a working map of every retention lever available to your specific product and clinical claims. Weeks 5-8: the measurement layer goes live and the first engagement mechanics move into design and stakeholder review. Weeks 9-12: implementation, with weekly checks against both usage data and whatever outcome signal you track.
You get one growth product strategist with health-platform experience, embedded against your product lead. You bring clinical and compliance stakeholders and access to whatever outcome or adherence data you already collect – we don't ask you to build new clinical infrastructure to work with us. We handle the engagement design, the measurement architecture, and the coordination across product, clinical, and legal that usually stalls this kind of work.
Reporting is monthly and covers three things: what shipped, what the joined engagement-outcome data shows, and what's queued next based on that data. Engagements typically run 6-12 months because health product cycles and outcome measurement move slower than a typical consumer sprint cadence – you need at least two or three release cycles before the outcome data is meaningful.
If your health & wellness company needs growth product management leadership, we should talk.
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Engagements typically run $18K-38K a month, depending on how much of the compliance mapping and measurement-layer work already exists versus needs to be built from scratch. A product with fragmented analytics and no existing link to outcome data sits at the higher end because the measurement work itself takes longer. Compare that to hiring a dedicated growth PM with health-tech experience, which usually costs more once salary, benefits, and ramp time are counted, and takes months longer to reach the same starting point.
Engagement mechanics like onboarding changes and re-engagement flows usually show a usage shift within 30-60 days of shipping. Whether that usage shift is actually connected to a clinical or adherence outcome takes longer to confirm – typically 60-90 days once the measurement layer is live and has enough data to compare against baseline. Don't trust an early retention bump until it's held for a full outcome measurement cycle.
Our strategist works inside your existing product process rather than running a parallel track – sitting in sprint planning, clinical review meetings, and compliance sign-off whenever a feature touches patient data or claims. We don't make compliance calls ourselves; we bring proposed mechanics to your compliance team already scoped against the boundary map so review is fast instead of a rewrite. Clinical stakeholders get pulled in specifically when a mechanic touches an outcome measure they own.
Most growth consultants bring a consumer-app tactics playbook and find out which parts survive legal review after the fact. We start with your specific compliance boundary and build the measurement layer connecting engagement to outcomes before proposing a single tactic, so nothing gets designed twice. The other difference is we stay through implementation – a strategy deck that never gets built is worthless when compliance review alone can kill momentum.
We report on shipped features, the engagement shift each one produced, and, critically, what the joined measurement layer shows about the connected outcome – adherence, a PRO score, or a clinical claim. ROI here isn't a single number; it's whether the retention gains you're seeing are actually attached to a health result you can point to. If a mechanic drives usage but the outcome data doesn't move, we say so and kill it rather than keep reporting on vanity engagement.
Companies with a product already in market, real usage data, and at least some outcome or adherence signal to work with – telehealth platforms, digital therapeutics, wellness tracking apps, and chronic-condition management tools are the most common fit. If you're pre-launch with no usage data yet, you need a product-market-fit engagement before a growth product engagement makes sense. The first step is the compliance and data audit, which tells us fast whether the measurement foundation is there to build on.
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