Selected work

Design challenge for health tech

Year
2026
Role
Product Design Lead

Introducing therapy with a calmer, guided path from uncertainty to a first conversation.

An abstract, human-centred landscape representing guided support and connection

The opportunity

Launching therapy in a new market meant designing for people who might not know what therapy is, what to expect, or who to choose.

Alan already made healthcare feel accessible, but a therapy offer asks for a different kind of confidence. First-time seekers can arrive at a vulnerable moment and still face an unfamiliar list of specialists, clinical language and a high-commitment decision.

The feature needed to introduce the service, help members recognise what they wanted support with, and offer a useful recommendation without turning the journey into a medical assessment.

The product principle was simple: after someone decides to ask for help, the experience should not ask them to make another difficult decision alone.

My role

Product Design Lead

An independent one-week design challenge covering the service proposition, experience architecture, visual system, interactive prototype and implementation-ready specification.

What I did

  • Product framing
  • Service design
  • Information architecture
  • Interaction design
  • Visual design
  • Design tokens
  • Component patterns
  • Prototype build

The product

A focused feature, designed as a service

Rather than dropping members into therapist browsing, the experience creates a progressive path: understand the offer, express a need in everyday language, get human guidance and move into booking with context.

01A soft-launch proposition

Start small enough to learn, but complete enough to earn trust.

The soft launch introduces therapy as a benefit inside a familiar healthcare product. It avoids asking members to self-diagnose and offers two valid paths: browse independently or get help choosing.

A short orientation call gives the matching process a human layer. The resulting recommendation explains why a therapist fits, retains member choice and leads directly into the existing booking journey.

Design decision

Use a human-assisted recommendation as a confidence bridge. The service does the difficult sorting while the member keeps the final decision.

02Progressive commitment

Each step answers one concern before asking for the next commitment.

The journey begins with familiar life concerns rather than specialisms. Members can then choose a therapist directly or book a 15-minute guidance call, review the time, receive confirmation and return later to a clearly explained recommendation.

The sequence deliberately separates choosing support from committing to a full therapy session. That makes the first action smaller and gives Alan room to learn where members hesitate during the market launch.

03Delivery in parallel

The interface and its implementation contract were designed together.

The prototype was built as the experience was refined, so interaction details were tested in a working flow rather than documented as static intentions. Reusable controls, booking states and recommendation patterns were treated as a small feature library from the start.

The handoff package is structured around shared tokens, repeatable component states, annotated behaviour and a working reference prototype. This gives engineering one coherent source for both appearance and interaction.

Developer-ready package

  • Design tokens. Colour, type, spacing and radius values expressed as a machine-readable foundation.
  • Component patterns. Question cards, buttons, reassurance messages, booking states and recommendations with clear variants.
  • Working prototype. The full journey available for interaction review, content checks and implementation reference.
  • Reference notes. Usage guidance connects each component decision to the needs of a sensitive healthcare journey.

Key product moment

Make the recommendation understandable

The experience does not simply announce a match. It introduces the therapist, connects the recommendation to what the member shared, and keeps the choice reversible. That transparency turns guidance into confidence.

Why

Clear matching rationale

Who

Relevant experience

Next

Book or keep exploring

Transparent therapist recommendation from the working click-through prototype

Interface system

A calm toolkit for a sensitive journey

The feature extends Alan’s friendly visual language with patterns for guided questions, transparent recommendations, booking states and reassurance. Tokens keep those decisions consistent in design and code.

Colour tokens

Ink

Primary

Support

Soft

Canvas

Success

Type scale

A little help.

Display · 36 / 39

Choose what feels closest

Title · 24 / 29

Plain language keeps each step easy to understand.

Body · 16 / 24

Selection pattern

Stress or feeling overwhelmed
Sleep and energy
Relationships
I’m not sure yet

Actions and feedback

✓

Included in your Alan plan

A 15-minute orientation call comes at no extra cost.

Transparent by default

Recommendations explain why a therapist fits, so guidance never feels like a black box.

Designed for uncertainty

Every step offers a clear escape route for members who are unsure or prefer to browse.

Ready for implementation

Semantic tokens and repeatable states create a shared contract between design and engineering.

Final experience

From uncertainty to a first conversation

The final flow combines education, guided matching, a low-pressure orientation call and a transparent recommendation. The prototype covers the complete journey and its key interaction states.

The walkthrough is recorded directly from the working click-through prototype, including the guidance call, time selection, confirmation and final therapist recommendation.

Design principles

What shaped the experience

Confidence comes before conversion.

For a sensitive service, the first task is helping members understand what will happen and feel safe enough to continue.

Guidance must remain transparent.

A recommendation earns trust when the product explains the reasoning and keeps alternatives visible.

A soft launch needs a learning loop.

A focused service path creates clear points to measure hesitation, completion and the usefulness of a match before scaling.

The feature does more than find a therapist. It makes asking for help feel possible.