Day 03 Data Strategy

Data Strategy and Feature Engineering

Data is the product. Data moats, feature stores, labeling pipelines, and the build vs buy decisions that determine whether your AI product has a sustainable competitive advantage.

~1 hour Intermediate Hands-on Precision AI Academy

Today's Objective

Data is the product. Data moats, feature stores, labeling pipelines, and the build vs buy decisions that determine whether your AI product has a sustainable competitive advantage.

01

AI-Powered Risk Management

Risk management is where AI genuinely earns its keep in project management. It has seen thousands of projects fail. Ask it what could go wrong on yours and it will surface things your team missed — because it doesn't have the same blind spots.

02

Risk Identification Prompt

Prompt — Risk identification
You are a senior project risk manager. Analyze this project and identify risks.

Project summary:
[paste project scope and plan]

Identify risks in these categories:
1. Technical risks (dependencies, integrations, performance)
2. Resource risks (availability, expertise, turnover)
3. Schedule risks (critical path, external dependencies)
4. Stakeholder risks (alignment, scope creep, decision delays)
5. External risks (vendor, regulatory, market)

For each risk:
- Risk: [description]
- Trigger: [what event would cause this]
- Probability: High/Medium/Low
- Impact: High/Medium/Low
- Risk Score: P x I (HH/HM/HL/MH/MM/ML/LH/LM/LL)
- Owner: [who should watch this]
03

Risk Register Template

Prompt — Build the risk register
Based on the risks identified, build a risk register prioritized by risk score.

For each risk in the register include:
| ID | Risk | Category | Probability | Impact | Score | Mitigation | Contingency | Owner | Status |

Mitigation = what we do to reduce probability or impact
Contingency = what we do if the risk actually happens

Prioritize: HH and HM risks first. Only include LL risks in an appendix.
04

Mitigation Plan Writing

Prompt — Mitigation actions
Write specific, actionable mitigation plans for these high-priority risks:

[paste HH and HM risks from register]

For each risk, provide:
- 3 specific mitigation actions with owners and deadlines
- The key indicator that tells us the risk is materializing (early warning sign)
- The escalation path if mitigation fails
Day 3 Exercise
Build a Risk Register in 30 Minutes
  1. Run the risk identification prompt on your current or practice project
  2. Build the full risk register using the template prompt
  3. Ask Claude which risks your team is most likely to underestimate
  4. Write mitigation plans for the top 3 risks
  5. Set calendar reminders to review each HH risk weekly

Day 3 Summary

What's Next

The foundations from today carry directly into Day 4. In the next session the focus shifts to Evaluating and Launching AI Products — building directly on everything covered here.

Day 3 Checkpoint

Before moving on, verify you can answer these without looking:

  • What is the core concept introduced in this lesson, and why does it matter?
  • What are the two or three most common mistakes practitioners make with this topic?
  • Can you explain the key code pattern from this lesson to a colleague in plain language?
  • What would break first if you skipped the safeguards or best practices described here?
  • How does today's topic connect to what comes in Day 4?

Live Bootcamp

Learn this in person — 2 days, 5 cities

Thu–Fri sessions in Denver, Los Angeles, New York, Chicago, and Dallas. $1,490 per seat. June–October 2026.

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Continue To Day 4
Day 4: Meeting Management — Agendas, Notes, and Action Items