Exploring AI-Assisted Gym page (2026)

AI-Powered Personalised Gym Experiences concept

I explored how AI-assisted experiences could evolve the user experience beyond traditional conversion rate optimisation (CRO).

The project investigated how AI could help people make more confident decisions by simplifying membership selection, personalising recommendations, reducing friction, and surfacing the most relevant options based on individual goals, preferences, and intent.

Rather than replacing existing user journeys, the concepts explored how AI could enhance key moments across discovery, comparison, onboarding, and conversion through more intelligent, adaptive, and personalised experiences.

Areas explored

  • AI-powered membership recommendations
  • Personalised fitness and wellbeing journeys
  • Smarter plan comparison and decision support
  • Intelligent search and content discovery
  • Conversational guidance throughout the joining journey
  • Personalised class, recovery, and nutrition recommendations

From a UX perspective, the work focused on reducing cognitive load, simplifying complex decisions, and creating more goal-led experiences. From a product perspective, it explored how AI-driven personalisation, guided recommendations, and contextual support could improve engagement, increase conversion confidence, and strengthen long-term customer relationships.

The Opportunity

The redesigned gym pages had already introduced improvements around:

  • Clearer pricing structures
  • Stronger plan comparison
  • Improved mobile UX
  • Benefit visibility
  • Clearer CTA hierarchy
  • Reduced friction during selection

The next stage was exploring:

  • How users could receive more personalised guidance
  • How AI could reduce uncertainty during plan selection
  • How upsell opportunities could feel more helpful rather than sales-driven
  • How journeys could adapt based on intent, goals, behaviour, or context

The challenge became:

How might AI help users make faster, more confident membership decisions while improving overall conversion performance?

Areas Explored

AI-Assisted Membership Guidance

A conversational layer designed to help users identify the most suitable membership based on:

  • Fitness goals
  • Preferred workout times
  • Class usage
  • Swimming access
  • Budget
  • Visit frequency
  • Location behaviour

Rather than browsing static pricing tables alone, users could receive contextual recommendations and simplified explanations of plan differences.

AI Personalised Gym Journey

An AI-assisted personalised gym journey concept designed to showcase how intelligent recommendations and guided experiences could tailor gym journeys around member goals such as weight loss, strength, wellbeing, swimming, or recovery.

The experience helps users discover the right membership, classes, facilities, and routines through guided recommendations, reducing decision fatigue and making gym choices feel more personalised and supportive.

From a UX perspective, the journey shifts from static membership browsing to a more guided, decision-first experience. From a CRO perspective, it aims to improve conversion, engagement, upsell opportunities, and long-term retention through smarter, personalised recommendations and motivation.

Reimagining the Gym Membership Journey with AI

Why an unbranded gym experience?
This concept has been intentionally designed as an unbranded experience to focus on the product thinking, user needs, and strategic design decisions rather than a specific organisation. Using a fictional gym brand allows the concepts to demonstrate how AI can enhance the member journey in a way that is transferable across the health and fitness industry, while respecting the confidentiality of previous client work.

VIEW PROTOTYPE

AI Membership & Personalisation

  • AI Membership Advisor
  • AI Membership Finder
  • Personalised membership recommendations
  • Goal-based membership matching
  • Instant recommendation updates
  • Match confidence score
  • Personalised benefits summary
  • Budget-aware recommendations
  • Time-of-day recommendations
  • Dynamic pricing recommendation

AI Conversion Optimisation

  • AI-powered plan recommendations
  • Intelligent comparison support
  • Dynamic CTA based on recommendation
  • Personalised onboarding journey
  • Reduced decision fatigue
  • Guided membership selection
  • Sticky personalised Join CTA

AI FAQs & Support

  • AI Club Assistant
  • Natural language questions
  • Intelligent FAQ responses
  • Suggested question prompts
  • Context-aware answers
  • Instant self-service support

AI Class Discovery

  • AI Class Recommendations
  • Goal-based class suggestions
  • Beginner-friendly recommendations
  • Live availability recommendations
  • Personalised fitness journey

AI Expert Matching

  • AI Personal Trainer matching
  • AI Physiotherapist recommendations
  • AI Swim Coach recommendations
  • Goal-based expert recommendations

AI Content Personalisation

  • AI Recommended Articles
  • Personalised wellbeing content
  • Goal-based health guidance
  • Contextual educational content

AI Club Discovery

  • AI Nearby Club Recommendations
  • Alternative club suggestions
  • Facility-based recommendations
  • Distance-aware recommendations

AI Insights

  • AI Member Review Summary
  • AI-generated facility summary
  • AI confidence scoring
  • Personalised recommendation reasoning

Smart Plan Recommendations

Explored how AI could dynamically surface:

  • “Best fit” memberships
  • Upgrade suggestions
  • Family or partner options
  • Annual savings opportunities
  • Off-peak suitability
  • Personalised benefit highlights

The goal was to create recommendations that felt assistive rather than overly sales-focused.

Intelligent Search & Discovery

Concepts explored included:

  • Natural-language search
  • “Find the best gym plan for me”
  • Goal-based discovery
  • Location-aware recommendations
  • Personalised content ordering
  • Adaptive treatment of pricing and benefits

This aimed to reduce cognitive load and help users reach relevant plans faster.

AI-Powered Planning & Engagement

Additional concepts explored:

  • Personalised onboarding journeys
  • AI-generated fitness guidance
  • Visit planning assistance
  • Class recommendations
  • Membership usage insights
  • Retention-focused nudges
  • Personalised next-best actions

The focus was on extending value beyond the initial conversion moment.

UX & CRO Considerations

The concepts were designed around several behavioural principles:

  • Reducing decision fatigue
  • Improving confidence during comparison
  • Surfacing relevant information earlier
  • Simplifying complex plan structures
  • Improving perceived personal relevance
  • Balancing automation with transparency
  • Ensuring AI remained assistive rather than intrusive

The exploration also considered trust, explainability, accessibility, and maintaining user control throughout the experience.

Reflection

This exploration helped demonstrate how AI could move beyond chatbot-style interactions and become more embedded within the overall product experience.

Rather than treating AI as a standalone feature, the concepts focused on how intelligent guidance, personalisation, and contextual assistance could support users more naturally across the full membership journey.

The work also reinforced how future CRO optimisation may increasingly rely on adaptive, personalised experiences rather than static journeys alone.