JD.

01 Case Study

Kaizen Languages.

Designing an AI-powered language learning experience around confidence, motivation and retention.

Role
Founding Product Designer
Timeline
Approximately three years
Platform
Native iOS and Android
Team
Founders, developers, language specialists, AI stakeholders
Focus
AI conversation, writing, retention, gamification and subscription conversion
Kaizen Languages mobile app mockups showing lessons, progress and subscription screens.
Jacinto De Matos

My role

As Founding Product Designer, I owned the product experience end to end—from customer research and product strategy through UX, interaction design, visual design, testing, analytics and delivery.

  • Product strategy and roadmap influence
  • User research and testing
  • UX and interaction design
  • Visual design and illustration
  • Prototyping and developer documentation
  • Product analytics and experimentation
  • Retention and conversion optimisation

02 Product challenge

Making AI language learning useful for complete beginners.

Kaizen used conversational AI to help people practise speaking with digital tutors. The challenge was not simply to create a chat interface. We needed to make unfamiliar technology feel human, provide enough structure for complete beginners and build habits strong enough to support both learning outcomes and a sustainable subscription product.

03 Product-level strategy

Connected decisions across three years of product work.

  • Prioritise novice learners

    Rather than concentrating only on advanced content, the product focused on beginners who needed confidence and structure first.

  • Define a human visual direction

    I tested photography, illustration and hybrid routes, then adapted the strongest evidence to an early-stage budget.

  • Turn AI messaging into a lesson system

    Conversation became a structured learning environment with progressive support, recovery and measurable iteration.

  • Introduce Japanese writing support

    Hiragana and katakana practice gave novice learners a stronger foundation before harder lesson progression.

  • Build practice and retention mechanics

    Practice, shipped streak mechanics and progress feedback helped learners return. Recovery concepts such as freezes were explored for a later phase.

  • Experiment commercially

    Free-access limits, paywall hierarchy and pricing emphasis were tested against customer value and business sustainability.

04 Combined impact

Strongest defensible outcomes.

Across three years, the strongest gains came from connecting learning behaviour, product confidence and commercial experimentation rather than treating them as separate activities.

62% NPS

Writing feature

Validated active beginner practice in testing.

+35%

Retention uplift

After introducing streaks and related retention mechanics.

40% / 22%

Day 1 and Week 1 retention

Day 1 at 40% and Week 1 at 22% after shipped gamification mechanics.

+25%

Lesson completions

After introducing Suggestions in AI lessons.

+13%

Premium conversion

Approximately 13% relative premium-conversion uplift from the two-versus-three free-lesson experiment.

+20%

6-month subscriptions

After moving the Most Popular label to the six-month plan.

05 Explore work

Explore three years of product work.

Six feature stories cover the major product areas I shaped as founding designer. Each page goes deeper into the problem, evidence, design decisions and outcomes.

06 Reflection

What three years as a founding designer taught me.

Kaizen required me to move continuously between product strategy, detailed interaction design, learning behaviour and commercial decisions. The strongest outcomes came from treating those areas as one connected system rather than separate design activities.