Exploring Future AI Products concepts, Apps & Member Journeys (2026)

Exploring how AI could improve healthcare, membership, and digital customer journeys

Introduction

In 2026, AI rapidly evolved from an emerging technology into a genuine opportunity to transform digital products and customer experiences.

As user expectations shifted towards more personalised, conversational and intelligent interactions, I began independently researching and prototyping how AI-assisted experiences could improve healthcare, fitness, wellbeing and membership journeys.

Rather than treating AI as a standalone feature, these concepts explore how it can solve real user problems, reduce friction, simplify complex decisions and create more supportive, human-centred digital experiences.

The concepts focus on identifying practical opportunities where AI can improve both user outcomes and business objectives through thoughtful UX, service design, personalisation and conversion optimisation.

Areas explored

  • Complex treatment discovery
  • Membership selection and comparison
  • Long-form healthcare content
  • Intelligent search and navigation
  • Decision support
  • Personalised recommendations
  • Guided onboarding journeys
  • Operational efficiency
  • Conversational AI assistance

The aim was to explore where AI could genuinely add value by improving user experiences, supporting business goals, reducing complexity and creating more connected healthcare and wellbeing journeys through human-centred design.

My Approach

  • Explored AI-assisted UX patterns through rapid concept ideation
  • Created interactive HTML prototypes to test future journeys
  • Focused on UX, CRO, accessibility, and decision-support
  • Investigated how AI could improve both user outcomes and operational efficiency
  • Combined conversational UI, recommendation systems, search, and personalised guidance patterns

 

The Opportunity

Healthcare and fitness journeys are often complex, content-heavy, and difficult to navigate.

Users can often:

  • Struggle to find the right treatment
  • Feel unsure which membership suits them
  • Become overwhelmed by long-form content
  • Compare multiple options without confidence
  • Abandon journeys due to friction or complexity
  • Need reassurance before making decisions

Traditional digital journeys often rely on static navigation, generic search, and one-size-fits-all experiences.

This exploration looked at how AI-assisted experiences could help shift these journeys towards:

  • More personalised discovery
  • Smarter recommendations
  • Guided decision-making
  • Conversational support
  • Intent-driven experiences
  • Simplified content experiences
  • Stronger conversion opportunities

My Role

  • UX & product exploration
  • AI opportunity research
  • UX strategy
  • CRO thinking
  • Journey mapping
  • Interaction design
  • Conversational UX exploration
  • HTML prototyping
  • Product concept development
  • User flow exploration

Areas Explored

AI-Assisted Discovery

Researched how AI-assisted experiences could help users discover more relevant services, treatments, memberships, and content based on intent, goals, behaviour, and context.

The concepts explored how AI could reduce uncertainty across complex healthcare and fitness journeys by guiding users towards clearer next steps and more relevant recommendations.

AI-generated summaries

Investigated how AI could simplify long-form healthcare and service content into shorter, more digestible summaries tailored to different user needs and levels of understanding.

The concepts focused on improving readability, reducing cognitive overload, and helping users understand complex information faster across treatment and wellbeing journeys.

AI search

Traditional site search can often struggle when users are unsure what treatment, service, consultant, or membership they actually need.

This concept explored how AI-powered search could better interpret natural language, symptoms, goals, and intent to deliver faster, smarter, and more relevant results across healthcare and fitness journeys.

Intelligent recommendations

Researched recommendation systems designed to simplify complex decisions and reduce uncertainty across healthcare and fitness journeys.

The concepts explored how contextual signals, intent, and behavioural patterns could surface more relevant recommendations tailored to individual users.

Conversational guidance

Investigated hybrid conversational experiences combining natural language interactions with more structured UX patterns such as guided buttons, recommendation cards, quick actions, and contextual suggestions.

Rather than relying only on traditional chatbot experiences, the concepts explored more visually guided and supportive conversational journeys across desktop and mobile experiences.

Workflow & operational support

Considered how AI-assisted tools could help reduce operational friction across healthcare and fitness journeys through smarter scheduling, personalised communications, guided support, and recovery recommendations.

The exploration also considered how AI could support internal workflows, operational efficiency, and future digital service optimisation.

AI Personalised Health & Fitness Journeys

Explored how AI could generate tailored wellbeing journeys based on goals such as strength, weight loss, rehabilitation, recovery, swimming, or general health improvement.

AI Nutrition & Meal Guidance

Investigated AI-assisted nutrition experiences, including personalised meal plans, recovery nutrition, healthy recommendations, hydration reminders, and wellbeing support.

Smart Recovery & Rehabilitation Support

Explored how AI could support recovery journeys through personalised rehabilitation plans, exercise guidance, reminders, progress tracking, and wellbeing check-ins.

AI-Assisted Booking & Scheduling

Consider how AI could reduce friction across appointment, consultation, class, and facility booking journeys through personalised recommendations and scheduling assistance.

Predictive Health & Wellbeing Insights

Explored proactive AI-driven insights, reminders, and recommendations based on engagement patterns, recovery trends, inactivity, or wellbeing behaviours.

AI Accessibility & Inclusive Experiences

Explored how AI could improve accessibility through simplified explanations, adaptive content, translation support, and more inclusive healthcare and fitness experiences.

AI-Assisted Gym Membership Journey (Concept)

This concept explores how AI-assisted UX and conversion optimisation (CRO) could simplify the gym membership journey by helping people choose the right plan with greater confidence.

The experience focuses on personalised recommendations, benefit-led membership comparisons, guided decision-making and reassurance throughout the sign-up process to reduce friction and improve conversion.

Traditional Journey

An evolution of the existing gym joining journey, introducing targeted UX and CRO improvements including clearer membership selection, enhanced plan comparison, simplified forms, improved start date selection, stronger payment reassurance, better mobile usability, personalised recommendations, subtle micro-interactions, AI-assisted guidance, and a more engaging confirmation experience.

Includes developer notes and AI opportunity considerations throughout the experience.

VIEW PROTOTYPE 

Personalised Membership Journey

A completely redesigned Nuffield Health joining journey focused on member goals rather than membership types, using personalised recommendations, enhanced onboarding, intuitive micro-interactions, clearer decision-making, stronger CRO principles, and a more premium user experience.

VIEW PROTOTYPE

AI Nutrition Planner for Nuffield Health App

Explored how AI could provide personalised meal plans, nutrition guidance, hydration reminders, and recovery-focused recommendations based on individual goals, preferences, and activity levels. The concept also investigated meal photo recognition for instant nutritional analysis and healthier food suggestions, helping members make more informed decisions and build sustainable healthy habits.

The Problem

Many members know they should eat better, but struggle with:

  • Knowing what to eat
  • Creating meal plans
  • Balancing nutrition around workouts
  • Staying motivated
  • Managing recovery and energy levels
  • Adapting plans when life changes

Most nutrition apps feel generic and disconnected from actual health and fitness goals.

VIEW PROTOTYPE

  • Designed a mobile-first Nuffield Health membership app concept focused on improving engagement, retention, and membership value through personalised digital experiences.
  • Introduced an AI Personal Trainer that generates tailored workout recommendations, adaptive fitness plans, recovery guidance, and progress tracking based on individual goals.
  • Explored AI-powered nutrition planning with personalised meal guidance, hydration reminders, recovery-focused recommendations, and healthy lifestyle support.
  • Created an interactive AI Food Scanner concept allowing members to analyse meals from photos, receive nutritional insights, healthier alternatives, and wellbeing recommendations.
  • Redesigned the class booking experience with image-led class discovery, multi-class basket functionality, recurring bookings, checkout flow, booking confirmation, and QR code access.
  • Enhanced the My Club experience with live club information, facility updates, occupancy insights, quiet times, club services, and personalised recommendations.
  • Developed a personalised member dashboard bringing together workouts, classes, nutrition, recovery, club access, wellbeing goals, and membership benefits in a single experience.
  • Introduced QR-based digital membership access, booking passes, and wallet-style entry experiences to streamline gym visits and class check-ins.
  • Added health, wellbeing, recovery, and progress tracking journeys to help members monitor activity, build habits, and achieve long-term fitness goals.
  • Applied UX, CRO, accessibility, and behavioural design principles throughout the prototype, using personalised recommendations, guided journeys, simplified navigation, and AI-assisted experiences to reduce friction and increase engagement.

AI-Powered Membership App

Designed a mobile-first healthcare membership app concept exploring AI-powered personal training, nutrition planning, food recognition, personalised wellbeing support, enhanced class booking, digital membership access and tailored member experiences. The concept demonstrates how UX, CRO, accessibility and behavioural design can increase engagement, retention and long-term membership value.

VIEW PROTOTYPE

These concepts were created independently in my own time to explore how AI, human-centred design and connected digital services could improve healthcare and wellbeing experiences. They are not affiliated with, commissioned by, or representative of any organisation’s product roadmap, internal strategy or plans.

Summary

The work focused on turning emerging AI opportunities into practical, testable product concepts grounded in real user needs, UX principles, CRO thinking, and measurable business outcomes.

Rather than treating AI as a standalone feature, the exploration considered how AI could enhance discovery, guidance, personalisation, conversion, and operational efficiency across connected healthcare and fitness experiences.

Outcome

This exploration helped demonstrate how AI could potentially enhance healthcare and fitness experiences beyond simple chatbot implementations or automation-focused use cases.

The concepts explored how AI-assisted journeys could:

  • Reduce friction
  • Simplify complex decisions
  • Improve confidence
  • Personalise discovery
  • Support conversion
  • Improve engagement
  • Create more supportive digital experiences

Most importantly, the work focused on keeping user needs, clarity, trust, and practical usability at the centre of the exploration, rather than treating AI as the outcome itself.

The project continues to evolve as AI capabilities, user expectations, and digital product opportunities continue to develop across healthcare and fitness experiences.

From Research to Interactive Prototypes

Rather than keeping concepts at the ideation level, selected opportunities were translated into interactive HTML prototypes to explore how AI-assisted experiences could work within real digital healthcare and fitness journeys.

The prototypes focused on:

  • Interaction design
  • Decision-making flows
  • Recommendation logic
  • Guided journeys
  • Conversational patterns
  • Search experiences
  • Conversion opportunities
  • UX and CRO optimisation

The goal was not to predict future AI products, but to explore practical, user-centred opportunities where AI could support better experiences, smarter journeys, and more relevant digital interactions.

VIEW PROTOTYPE