Chapter 2 Lab moves theory into muscle memory. You will write five CRAFT prompts you'll actually use, ideate AI opportunities across all three HBR categories (per Mr. Giang's review), score each one with the rule-based grid (/10), and write a short report on what you'll do with these skills over the next 3 months.
3 quizzes — CRAFT, tool tiers, and the data-sensitivity rule.
5-prompt personal library + the ⭐ HBR Ideation Sheet (per Mr. Giang).
Score each idea /10, write 90-day report, give feedback to Quanskill.
Use this one-page infographic as the quick visual recap for this lab. Open the full-size version for classroom projection or participant sharing.
You write a prompt: "Last Friday Line 3 night shift produced 1,800 syringes with hairline barrel cracks. Cooling fan tripped twice. Act as ISO 13485 RA analyst. Draft a 6-section CAPA report. Vietnamese, 400 words, formal. QA Manager + 2027 auditor will read." Which CRAFT letter is the WEAKEST in this prompt?
MPV's Maintenance Engineer wants to deploy AI-based predictive maintenance on five injection presses, using 6 months of sensor data already collected. Which tool tier is the most natural starting point?
An MPV Finance analyst wants to paste this into free ChatGPT to draft variance commentary: "Revenue Apr 2026: 18.2B VND (vs budget 19.5B). Customer X (Bach Mai Hospital): 4.1B. Customer Y (FV Hospital): 2.8B. Top contributors..." What should she do?
This is the exercise Mr. Giang's review explicitly asked for. Generate at least 2 candidate AI tasks per HBR category (total ≥6). Score each on the rule-based /10 grid. Write your 80-word reflection. Give feedback to Quanskill.
① Process Automation candidates (≥2):
② Cognitive Insight candidates (≥2):
③ Cognitive Engagement candidates (≥2):
For each candidate above, give it 0–2 on each of the 5 dimensions, total /10. Be honest — over-optimistic scores are the #1 reason AI pilots fail.
| Dimension | 0 points | 1 point | 2 points |
|---|---|---|---|
| Frequency | A few times/year | Weekly | Daily or many/day |
| Time spent | < 10 min | 10–30 min | > 30 min |
| Data sensitivity | Highly sensitive (needs enterprise AI) | Some sensitive (needs desensitisation) | Mostly non-sensitive (public AI OK) |
| Output structured | Different every time | Partly templated | Fits clear template |
| Good-known | Hard to judge correctness | Spot-checkable | Easy to recognise correct answer |
Strong candidate. Pilot in 2–4 weeks.
Revisit — refine scope or wait for Phase 2.
Drop — AI unlikely to help here.
Your scoring table (one row per candidate above):
This is the "what they'd utilize skills for" piece from Mr. Giang's note. Be specific and concrete.
What was useful? What was confusing? What would make Chapter 2 stronger?
The single most-leveraged habit of this course. Write 5 CRAFT prompts you'll genuinely use in week one. Reuse them, refine them, share at least one with a colleague.
CRAFT Prompt #1 — for your highest-frequency task:
CRAFT Prompt #2 — for a second recurring task:
CRAFT Prompt #3 — for a translation or Vietnamese-language task:
CRAFT Prompt #4 — for an analysis / comparison task:
CRAFT Prompt #5 — for a customer or supplier reply you write often:
Take your highest-scored opportunity from the Star Exercise. Run it through the four-question framework.
Opportunity I'm taking through the framework:
Q1 — Commodity capability or genuine differentiator?
Q2 — Data sensitivity bucket (4 options from Ch 2.7):
Q3 — How fast do I need it (Days / Weeks / 1–3 months / 3–9 months)?
Q4 — Vendor question for our IT/procurement team:
My tool decision:
Click below to compile your CRAFT library, HBR Ideation Sheet scores, tool decision, and 90-day plan into one document. Save it for your Phase 2 Capstone folder.
You have a working CRAFT prompt library, six scored HBR-categorised ideas, a 90-day skill-utilisation plan, and a working tool decision. Chapter 3 makes all of this safe — Responsible AI for MPV.
📖 Chapter 3 Theory →