Challenge: Build your team's risk framework
Take on Naveen’s challenge for a chance to win! The lucky winner will walk away with a gift box from us!🎁
You have 24 hours following the webinar to submit your solution.
Difficulty: Advanced
Time: 60-90 minutes
Create a complete 4-step AI risk framework (Identify, Assess, Mitigate, Monitor) customized for your project.
What to Do:
• Document your project's context: tech stack, team size, sprint length, deployment frequency, main modules.
• For each of the 4 steps, create:
- IDENTIFY: 3 reusable AI prompts your team can use during sprint planning to analyze new stories/requirements.
- ASSESS: A risk scoring template (spreadsheet or document) that your team fills with data each sprint, then feeds to AI for scoring.
- MITIGATE: A test prioritization prompt template that takes your risk scores + test suite data and outputs a test plan.
- MONITOR: A checklist of what to watch post-release and how AI can help detect anomalies.
• Write a 1-page "Quick Start Guide" that any team member can follow to run the framework in their next sprint.
• Test the framework on your current sprint: run the IDENTIFY step on one user story and the ASSESS step on your latest bug data.
Deliverable: A 4-step framework document with reusable prompts, templates, and a 1-page Quick Start Guide. Plus results from testing it on one real sprint.
Rules:
• You can use any AI tool: Claude, ChatGPT, Gemini, Copilot, or any other.
• Use real data from your current project if possible. If not, use the sample data provided.
• Document your findings. Screenshots, tables, or a short write-up all work.
