Executive Snapshot
ChatGPT Bingo is a gamified micro-learning web application designed to build a lasting habit of using the organization's internal generative AI tool as the default first step in everyday work tasks. Rather than a traditional training course, it uses a 5×5 bingo board of practical challenges that employees complete at their own pace — turning AI adoption into an engaging, low-pressure experience.
Learning Goal
Develop a consistent habit of reaching for an internal GenAI tool as the first step when tackling work tasks — from drafting emails and creating presentations to analyzing data and giving feedback. The challenges are designed to move learners from curiosity to confidence to daily routine.
The Bingo Board
Participants receive a fixed 5×5 grid of 25 micro-challenges, each targeting a specific AI skill or workflow. Challenges are organized into five categories:
Prompt Engineering — Crafting effective prompts using personas, constraints, few-shot examples, and reverse interaction techniques
Assistants — Exploring and using built-in AI assistants (L&D Assistant, Excel Guru, Feedback Simulator, custom assistants)
Features — Hands-on trials of specific tool capabilities (PowerPoint generation, Word drafts, deep thinking mode)
ChatGPT Habit — Real-world habit-building exercises (2-minute wins, first-step swaps, template creation)
Safe Use — Responsible AI practices (data hygiene checks, shadow AI decision drills)
Gamification Mechanics
Points — Each tile awards points upon completion (10–15 pts per challenge)
Bingo Lines — Completing a full row, column, or diagonal earns a 50-point bonus
Full Board Bonus — Completing all 25 tiles awards an additional 150 points
Leaderboard — A community ranking motivates friendly competition
Progress Tracking — A visual progress bar shows tiles completed, lines achieved, and total points
Community & Social Learning
A built-in community dashboard provides:
Activity Feed — Real-time wall of wins showing who completed which challenges
Tile Heatmap — Visual map of which challenges are most/least popular
Category Breakdown — Charts showing completion distribution across skill areas
Participant Table — Filterable view of all participants, their progress, and last activity
KPI Dashboard — Key metrics including total participants, tiles completed, bingo lines achieved, and 7-day active users
This community layer creates positive peer pressure and makes adoption visible across the organization — without being a performance evaluation tool.
Data Protection
The application includes a multi-layered data loss prevention (DLP) system that detects and blocks sensitive information (emails, phone numbers, API keys, credentials, etc.) from being submitted — both client-side and server-side — ensuring safe use in a corporate environment.
Instructional Design Rationale
Microlearning
Each challenge takes 2–10 minutes — fits into any workday
Spaced practice
"One tile a day" framing encourages daily engagement over weeks
Learning by doing
Every challenge requires hands-on tool use with a real work task
Social proof
Community dashboard shows adoption momentum
Intrinsic + extrinsic motivation
Points and bingo lines (extrinsic) paired with genuine skill-building (intrinsic)
Low-stakes environment
No grading, no deadlines — participants progress at their own pace
Habit loop design
Cue (board visibility) → Routine (complete a tile) → Reward (points + completion animation)
Development Process
I "vibe-coded" the bingo activity in Lovable AI as a simple habit-building tool rather than a complex learning platform. The main focus was to create an experience that was easy to access, intuitive to understand, and realistic to maintain over time. I designed the structure of the bingo board, defined the challenge logic, wrote the individual task prompts, and shaped the overall experience so it would encourage repeated experimentation with the internal Gen AI tool. The design intentionally prioritized low friction, clear participation rules, and flexibility for future updates over technical complexity.
What This Project Demonstrates About Me
I design for habit formation and behavior change, not just one-time learning
I test innovative solutions quickly by vibecoding practical prototypes in Lovable
I think about security and organizational fit, not only engagement
I create low-friction experiences that are realistic to launch, use, and maintain
I yse AI and no-code tools as accelerators for prototyping and iteration, not as decoration