Whiteboard Prompts
Story worksheet + Module 7 synthesis templates
Capture trainee words — not slide content. Photograph boards at Story and Module 7.
Related: reflection-prompts.qmd · facilitator-guide.qmd
Story — Design worksheet (12 min)
Format: Individual sketch (5 min) → pairs compare (3 min) → whole group (4 min)
Prompts (display on screen)
- Draw your data sources and ingestion frequency.
- Name three layers and what each contains.
- List five KPIs Marcus cares about.
- Pick a primary tool for ingest and transform — one sentence why.
- What tests or documentation would you require before go-live?
Whiteboard template
┌──────────────────────────────────────────────────────────────────┐
│ YELLOWLINE NYC — WHAT WOULD YOU DESIGN? Story · DATE │
├──────────────────────────────────────────────────────────────────┤
│ PROBLEMS MARCUS FACES │ DATA SOURCES / FREQUENCY │
│ · │ · │
│ · │ · │
├─────────────────────────────────┼─────────────────────────────────┤
│ LAYERS PROPOSED │ TOOLS MENTIONED │
│ Bronze: │ Ingest: │
│ Silver: │ Transform: │
│ Gold: │ Consumption (Priya / PBI): │
├─────────────────────────────────┴─────────────────────────────────┤
│ KPIs (5) │ RISKS │
│ 1. │ · │
│ 2. │ · │
│ 3. │ │
├───────────────────────────────────┴───────────────────────────────┤
│ THREE CONSTRAINTS (introduce today — revisit Module 7) │
│ Cost: ___________ Performance: ___________ Compliance: ______ │
└──────────────────────────────────────────────────────────────────┘Save this board — photograph before erasing. Revisit in Module 7 Round 4.
MHP reveal (after 10 min — do not front-load)
| Item | MHP answer (trainer crib) |
|---|---|
| Layers | Bronze raw · Silver cleaned · Gold 12 KPIs |
| Sources | ADLS2 Parquet + zone CSV |
| Consumption | Priya → Power BI on Gold |
| Tools evaluated | Databricks, Snowflake, dbt on Snowflake |
Modules 1–6 — Quick capture columns
Use one row per module; erase between modules or use a running “insights” board.
| Module | Situation (1 line) | Trainee idea worth keeping | Priya / Gold link |
|---|---|---|---|
| 1 Fundamentals | Silver vs Gold | KPI list | |
| 2 Databricks | Ingest approach | Overview charts | |
| 3 Snowflake | SQL maintainability | Map page | |
| 4 dbt | Lineage / tests | Revenue + quality | |
| 5 Production | What breaks at 2 a.m. | SLA / freshness | |
| 6 AI | Where AI helps / hype | NL query |
Module 7 — Synthesis table (Round 3)
Build from trainee words during open discussion.
┌─────────────────────────────────────────────────────────────────┐
│ YELLOWLINE NYC TOOL COMPARISON — TRAINEE SYNTHESIS Module 7 │
├──────────────┬──────────────────┬──────────────────┬────────────┤
│ Dimension │ Databricks │ Snowflake │ dbt │
├──────────────┼──────────────────┼──────────────────┼────────────┤
│ Best for │ │ │ │
│ Weak for │ │ │ │
│ Marcus SQL │ │ │ │
│ team fit │ │ │ │
└──────────────┴──────────────────┴──────────────────┴────────────┘
THREE DECISIONS (draw below table):
[ PLATFORM ] → [ TRANSFORM ] → [ CONSUMPTION / Power BI ]Round 4 — Story revisit prompts
- What would you change in your morning design now?
- What did you get right on day one?
- If you were Elena, what would you tell Marcus to run on Monday?
Side-by-side: Story photo vs Module 7 synthesis table.
Priya’s five KPI questions (pin early — Module 1)
- When are our peak revenue hours?
- Which pickup zones drive the most trips?
- Which routes are most popular?
- How does revenue vary by borough and distance band?
- Are we losing money on bad data?
Maps to 12 Gold tables — see data model.
Document history
| Date | Change |
|---|---|
| 2026-05-24 | Initial whiteboard templates Story–7 |