- Ability to break ambiguous work into shippable scope
- Sprint planning and prioritization across multiple projects
- Estimation thinking (assumptions, capacity, buffers)
- Risk analysis + mitigation + escalation triggers
- Communication artifacts (status update, RAID, simple reporting)
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Assume team capacity:
- 1 Backend, 1 Frontend, 1 GenAI, 1 QA (50%), 1 Designer (25%), 1 Product Manager, 1 Project Manager (You) Timeline: 4 weeks (2 sprints of 2 weeks each) for an internal demo MVP
For each of the 4 projects, write:
- MVP scope (3 bullets)
- Out of scope (2 bullets)
- Acceptance criteria (2 bullets)
- Dependencies (1–2 bullets)
Your Solution for problem 1:
You need to put your solution here.
Create a plan that delivers an internal demo MVP across all 4 projects.
Must include:
- Sprint goal for Sprint 1 and Sprint 2
- For each sprint: top epics/stories per project (bullet list)
- Cross-project “platform items” (auth, job system, storage, logging) as a shared track
- QA + hardening items in each sprint (not all at the end)
Your Solution for problem 2:
You need to put your solution here.
Provide:
- Estimation method (T-shirt sizing or story points) and why
- Capacity assumptions per role (how many days available per sprint)
- High-level sizing per project (S/M/L)
- Buffer strategy (how much and where you apply it)
Your Solution for problem 3:
You need to put your solution here.
Create a risk register with 10 risks across these projects.
For each risk include:
- Risk
- Impact (H/M/L)
- Probability (H/M/L)
- Mitigation
- Trigger signal
- Contingency / fallback
Must include risks around:
- AI output quality + review loops
- LinkedIn OAuth/token expiry + rate limits
- Bulk generation partial failures + per-row reporting
- Large video upload/storage cost + timeouts
- Background jobs stuck/retry/idempotency issues
- Privacy/PII + access control mistakes
- Scope creep across 4 parallel tracks
Your Solution for problem 4:
You need to put your solution here.
- If leadership wants a demo in 10 days, which 2 projects do you prioritize first and why?
- What are your top 5 delivery health metrics for this program?
- How will you keep stakeholders aligned when requirements change mid-sprint?
- What’s your “Definition of Done” for an AI workflow feature?
<YOUR ANSWERS>