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Flagship project

Geekly Quiz

Geekly Quiz

Designing a competitive quiz platform focused on progression systems, gamification mechanics, UX fairness, and rapid AI-assisted product iteration.

Prototype videoHero product walkthrough video placeholder
Role
Product ownership, UX architecture, UI, frontend implementation
Focus
Gamification, progression systems, competitive UX, accessibility, rapid iteration
Output
Live self-initiated product platform

Overview

Geekly Quiz is a self-initiated competitive quiz platform designed to go beyond a simple question-and-answer experience. The product explores how progression systems, weekly competition, specialist subjects, achievements, leagues, and reward mechanics can create a more engaging long-term quiz experience.

The challenge

The challenge was to design a quiz product that felt competitive, replayable, fair, and rewarding without overwhelming new users.

Challenge areas

  • 01Differentiate the experience from generic quiz apps
  • 02Create long-term engagement beyond a single quiz
  • 03Balance speed, accuracy, difficulty and fairness
  • 04Support specialist subjects and weekly content cycles
  • 05Design progression systems that feel rewarding without becoming confusing
  • 06Build integrity systems to reduce refresh, repeat-run, and leaderboard abuse

Product systems thinking

A major part of the work was designing the systems behind the product, not just the quiz screens.

Core product systems

Weekly quiz cycles

A recurring quiz structure with weekly releases, season logic, cycle states, release timing, result finalisation and leaderboard updates.

Specialist subjects

Players choose specialist subjects such as Star Wars, Harry Potter, Marvel, DC and Lord of the Rings, creating more personal quiz paths and dedicated ranking opportunities.

Progression systems

XP, levels, specialist titles, overall progression and long-term player identity were designed to make repeat play feel meaningful.

Achievement ecosystem

Gameplay achievements, scoring achievements, world-first achievements and cosmetic rewards were structured to support motivation, mastery and prestige.

Leagues and leaderboards

Competitive ranking systems were designed across global, specialist, private league and mode-specific contexts.

Feedback and telemetry

Question feedback and performance data were planned to improve question quality, difficulty balancing and future content decisions.

System media

Workflow diagramProduct system diagram placeholder
Case study mediaProgression flow placeholder
Case study mediaAchievement/reward system placeholder
Interface screenshotLeaderboard screenshot placeholder

Gamification and engagement

The product uses gamification carefully, with mechanics designed around skill, consistency, speed and mastery rather than simple point collection.

Engagement mechanics

XP and level progression

Streak and speed-based scoring

Unlockable avatars, badges and titles

Weekly competition and seasonal progression

World-first achievements

Specialist-subject progression

Gauntlet Mode as a high-stakes challenge mode

Engagement media

Case study mediaAchievements and rewards visual placeholder
Prototype videoGauntlet Mode interaction video placeholder

UX fairness, accessibility and integrity

A key part of the design was making the experience competitive without making it unfair, confusing or inaccessible.

Fairness and integrity decisions

Pre-read question phase

A fixed pre-read phase gives players time to read the question before answer options and timers begin, helping reduce pressure and improve fairness.

Keyboard answer selection

Keyboard support allows faster answer selection and improves accessibility for users who prefer not to rely on mouse or touch input.

Run integrity

Anti-cheat and run integrity systems were designed to discourage refreshing, tab switching, restarting and leaderboard manipulation.

No-answer-reveal modes

Modes such as Gauntlet were designed with no answer reveals to preserve challenge integrity and replay value.

Feedback eligibility

Question feedback was designed around completed eligible runs, so users can rate question quality and difficulty without compromising answer reveal rules.

Rapid product iteration

Geekly Quiz was developed through rapid AI-assisted workflows, using prototypes, code iteration and product planning to move quickly from concept to working product.

The project involved moving between product strategy, UX flows, visual design, frontend implementation, Firebase architecture, content workflows and operational tooling. AI-assisted workflows helped accelerate prototyping and implementation, while product decisions were refined through testing, bugs, feature planning and launch preparation.

Iteration media

Prototype videoQuiz interface video placeholder
Interface screenshotMobile responsive screenshot placeholder
Case study mediaAdmin/content workflow placeholder
Case study mediaBefore/after iteration placeholder

My role

As a self-initiated product, I owned the product direction, UX architecture, feature prioritisation, interface design, implementation workflow and ongoing iteration. The work required balancing user experience, game mechanics, content operations, technical feasibility and launch readiness.

Role responsibilities

  • Product ownership
  • UX architecture
  • Gamification design
  • Frontend implementation
  • Firebase/product architecture
  • AI-assisted workflows
  • Content systems
  • Accessibility considerations
  • QA and launch planning

Outcome and reflection

Geekly Quiz became a substantial product ecosystem rather than a simple quiz interface. The project demonstrates end-to-end product thinking, from user-facing experience design through to backend data models, progression systems, competitive rules, content workflows and launch operations.

Outcome

  • Developed a live, self-initiated product platform
  • Designed multiple quiz modes and competitive structures
  • Created progression, achievement and reward systems
  • Built systems for weekly cycles, leaderboards and player profiles
  • Explored accessibility, fairness and anti-cheat considerations
  • Used AI-assisted workflows to accelerate product development and iteration

What this demonstrates

  • Product ownership
  • Systems thinking
  • Gamification architecture
  • Behavioural UX
  • Competitive experience design
  • Rapid prototyping
  • AI-assisted delivery
  • UX fairness
  • Accessibility thinking
  • Frontend collaboration
  • Technical product thinking