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Rapid App Innovation

Streamlining and Automating Daily Reporting

My Role

Solo end-to-end AI workflow: research with ChatGPT and Claude, PRD generation with ChatGPT, design with Google Stitch and Figma, build with Replit — concept to tested MVP in 3 weeks.

Timeline

2 months

Platforms

Mobile

Problem

Schools need a more efficient, scalable way to document and communicate each child’s daily activities without relying on a labor-intensive end-of-day reporting process. Parents need timely visibility into their child’s school day so they feel informed, reassured, and confident about their child’s safety and well-being.

The app solves both needs by giving parents real-time updates throughout the day while automating activity tracking and report generation for school staff.

A teacher's daily schedule

Research & Synthesis

I used ChatGPT to build a detailed research plan, then ran interviews with teachers and school owners. ChatGPT synthesized the findings into five clear needs:

  • Fast, simple logging
  • Better parent communication
  • Bulk actions for multiple children
  • Flexible editing and deletion
  • Stronger child-record management

Competitive Analysis

Using ChatGPT and Claude, I ran a structured teardown of children’s activity and school apps (full analysis linked below). Key patterns:

  • Fast teacher logging
  • Strong parent communication
  • Bulk actions for efficiency
  • Simple but flexible workflows
  • Clear end-of-day summaries
Competitive analysis cover — Children Activity & School Activity Apps

PRD & Build Plan

I turned research and competitive insights into a ChatGPT-generated product requirements document, which became the single source of truth for scope, user roles (teacher / head teacher / parent), and the MVP feature set.

Design & Prototype

From the PRD, I used Google Stitch and Figma First Draft to accelerate early exploration, then refined an MVP in Figma and Replit for usability testing.

App home screen
QR code to view the prototype

Build & Iteration

Once concepts were validated with the client, I used Replit to turn designs into a working build, then iterated on real feedback from the client and test users. The shipped app, a tremendous efficiency gain over manual end-of-day reporting, does the following:

  • Automates activity reporting through a simple teacher workflow that allows staff to select an activity, choose the child or children involved, and add a note when needed. Once submitted, the update is automatically logged in each child’s activity feed for parents to view.
  • Triggered by the check-out action, the app automatically generates an AI-powered end-of-day summary of the child’s activities. The head teacher can review and edit the summary as needed before it is shared with parents.
  • In the parent portal, parents can only view their own child’s feed and communicate with teachers in real time through comments on activity updates, with notifications sent for each reply.