Product, business & communication

Communicate AI trade-offs to stakeholders

Write and present clearly about risk, cost, timelines and limitations; run demos and reviews.

~8 focused hours·beginner

Tools: Slides/decks, Loom (async demo recording), Notion/Confluence (decision docs), DACI/RACI templates

What employers mean

You should be able to…

  1. Write a one-page trade-off memo comparing build options with cost/risk/timeline
  2. Run a demo or review that lands the message with both engineers and executives
  3. Make a decision-making framework (e.g. DACI) explicit so debates don't stall a launch
  4. Communicate model limitations honestly without undermining stakeholder confidence
  5. Handle pushback on timelines or scope in a live meeting without over-promising
  6. Summarize a technical postmortem for a non-technical audience
Learn — free, link-checked

The few resources that matter

Practice

Trade-off memo + recorded stakeholder update for a delayed AI launch

Take a real or hypothetical AI feature (e.g. an automated KYC document checker) that's 3 weeks behind schedule because accuracy on regional-language documents is below bar. Write a one-page trade-off memo comparing 3 options (ship with human review fallback, delay for more training data, narrow scope to English-only documents first) with cost/risk/timeline for each, using a DACI to name who decides. Record a 5-minute Loom-style update as if presenting to leadership.

Done when
  • Memo presents exactly 3 options with an explicit recommendation and reasoning
  • A DACI or equivalent framework names who decides, who's consulted, who's informed
  • Recorded update is under 6 minutes and avoids technical jargon a non-engineer wouldn't know
  • Memo and recording are consistent with each other in the recommendation given
Prove it

Evidence a recruiter can check

  • Public trade-off memo document
  • Recorded stakeholder-update video (Loom or similar), linked and viewable
  • A DACI/RACI artifact for the decision
Interview

Questions you'll get asked

  1. Tell me about a time you had to explain an AI feature's limitations to a skeptical stakeholder.
  2. How do you communicate a timeline slip on an AI project without losing trust?
  3. Walk me through how you'd run a review meeting where engineers and executives disagree on a trade-off.
  4. Give an example of a decision you made explicit (who decides, who's consulted) to avoid a stalled debate.
  5. How do you tailor the same AI project update for an engineering audience vs a leadership audience?
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