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Health & Behavioral Medicine

Digital Health Product Design

Our digital health product design work combines behavioral medicine, human-computer interaction and engagement analytics to help teams build apps, platforms and connected tools that patients and clinicians adopt, understand and keep using.

The challenge

The problem behind the problem.

Digital health products face a familiar pattern: strong downloads, enthusiastic early use, then steep decline. Many apps are designed for motivated, tech-savvy users, while the people who need them most may be older, unwell, fatigued, managing multiple conditions or uneasy with technology. Features multiply in an attempt to engage everyone, increasing complexity and burden. Meanwhile, clinicians are asked to recommend tools they have little time to understand and that may add work to already crowded days.

Digital health teams also struggle to connect engagement metrics with outcomes. Daily active users and session length say little about whether a product is changing health behavior. Investors, payers and health system partners increasingly expect evidence of meaningful engagement and outcomes. Without a behavioral model of how the product should create change, teams optimize for activity that may not matter and miss the moments that predict whether a user will stay and benefit.

Our approach

How we deliver digital health product design.

  1. 01Observe

    Research with patients and clinicians

    We conduct contextual research with patients, caregivers and clinicians, observing how they manage health in daily life and where a digital tool could genuinely help. Drawing on our experience building software for people with chronic illness, we pay attention to fatigue, cognitive load, accessibility, privacy concerns and how products fit into clinical workflows.

  2. 02Signal

    Build the engagement model

    We analyze product analytics to identify the early behaviors and activation moments that predict sustained use and the behavioral types of users, such as steady trackers or crisis-driven users. We define predictive engagement KPIs linked to the product's theory of change, separating meaningful engagement from activity that merely inflates usage numbers.

  3. 03Design

    Design for behavior and usability

    We apply behavioral design, persuasive technology principles and HCI to onboarding, core flows, notifications and feedback. Typical work includes reducing the effort of key actions, designing prompts that fit real routines, presenting data patients can interpret and act on, and supporting autonomy and competence rather than relying on streaks and points alone.

  4. 04Test

    Usability and experiments

    We run usability testing with representative users, including people with limited health or digital literacy, and design A/B tests and pilots to measure the effect of changes on predictive KPIs. Where products make clinical claims, we coordinate with clinical and regulatory teams to plan appropriate evaluation.

  5. 05Scale

    Grow with evidence

    We help product teams build an experimentation practice, engagement dashboards and research routines so they can keep improving after our work ends. We support evidence planning for payer and health system conversations, and advise on scaling to new populations without losing the usability and behavioral fit that made the product work.

What you receive

Deliverables.

Patient and clinician research synthesis with design implications
Behavioral theory of change for the product
Predictive engagement KPIs and activation definitions
Redesigned onboarding, core flows and notification strategy
Accessibility-focused usability test reports
Experiment roadmap and engagement dashboard specification
Outcomes

What changes.

Product teams understand which early behaviors predict sustained, meaningful engagement over time
Patients with varied abilities and literacy levels can use the product with confidence
Clinicians find the product fits their workflow rather than adding burden
Evidence conversations with partners rest on a clear behavioral theory of change
Who we serve

Who engages us.

We work with digital health startups and scale-ups, health system innovation teams, payers building member tools, and life sciences companies developing patient support or digital therapeutics. Clients include founders, product leaders, clinical leads and design teams. Typical triggers include a product with strong acquisition but weak retention, preparation for a pilot with a health system or employer, a fundraising round requiring engagement evidence, or expansion to an older or more clinically complex population.

Industries

Impact lens

Beyond the balance sheet.

Well-designed digital health products can extend care into the many hours patients spend outside the clinic, offering support, insight and connection when it is needed. Designing for accessibility and health literacy keeps these benefits from reaching only the already advantaged. Clinicians benefit from tools that save rather than consume time. Ethical persuasive design, with clear consent and respectful data practices, helps build the trust digital health needs to serve communities well.

FAQ

Frequently asked questions.

Why do so many digital health apps lose users quickly?

Common reasons include onboarding that asks too much too soon, a value proposition that is unclear in the first few uses, notifications that feel generic or nagging, and designs that assume high energy and digital confidence. Some users also leave because the app does not fit their daily routines or clinical care. Understanding early behaviors that predict retention helps teams fix the right problems.

What is meaningful engagement in digital health?

Meaningful engagement is use that connects to the product's intended health behavior and outcomes, rather than activity for its own sake. For a diabetes tool, it might mean logging glucose at clinically useful times and acting on feedback; for a mental health app, completing exercises that build skills. We define meaningful engagement with clients using a theory of change and test whether it predicts outcomes.

Is gamification a good idea for health apps?

Sometimes, but it needs care. Points, badges and streaks can help some users build early habits, but they can also feel trivial, create anxiety after a broken streak or crowd out intrinsic motivation. Self-determination theory suggests supporting autonomy, competence and connection is more durable. We test game elements with real users and design them to support, not replace, meaningful health goals.

Can you work with our in-house product and design team?

Yes, most of our digital health product design work is collaborative. We typically embed behavioral science and research expertise alongside your product managers, designers, engineers and clinical advisors. We also help teams build their own capability in behavioral design, usability research and experimentation, so improvements continue long after our engagement ends.

Work with us

Ready to talk about digital health product design?

Every engagement begins with a conversation. Tell us what you are facing and we will tell you, candidly, how we would approach it.

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