Assignment 3
90-Day Project Prioritization
Each project scored on three axes. Adjust the weights — the queue re-ranks live. Defaults reflect the actual SourceClub queue.
Scoring weights
Total: 100%Priority queue
| Rank | Project | R | L | S | Score |
|---|---|---|---|---|---|
| #1 | 2.1 Savings Analysis Automation Weeks 1–4 | 5/5 | 5/5 | 5/5 | 5.00 |
| #2 | 1.1 Stripe ↔ HubSpot Name Matching Weeks 2–5 | 4/5 | 4/5 | 5/5 | 4.25 |
| #3 | 2.2 Sales Pipeline Automation Weeks 8–12 | 4/5 | 4/5 | 4/5 | 4.00 |
| #4 | 3.1 Customer Service → HubSpot Ticketing Weeks 4–8 | 4/5 | 4/5 | 3/5 | 3.75 |
| #5 | 1.2 ZenOne Data Integration Weeks 5–10 | 5/5 | 3/5 | 2/5 | 3.55 |
12-week Gantt
W1W2W3W4W5W6W7W8W9W10W11W12
2.1 Savings Analysis
1.1 Stripe ↔
3.1 Customer Service
1.2 ZenOne Data
2.2 Sales Pipeline
Deliberately deferred
💡 Startup credit strategy
Platform-agnostic → $450K stacked
GCP AI Track: $350,000 AWS Activate: $100,000 ───────────────────────── Total: $450,000
The n8n + FastAPI + Supabase stack runs identically on either cloud. Apply to both programs on Day 1. Use GCP for AI workloads (Vertex AI, BigQuery); AWS for compute and storage (EC2, S3). Zero switching cost when credits expire — full pricing leverage.
Questions I'd ask first
Day 1 checklist
0 / 9 done · 8.3 hr total- 2 hr
- 1 hr
- 15 min
- 30 min
- 30 min
- 1 hr
- 30 min
- 2 hr
- 30 min