Professional Skills and Communication
Professional Skills and Communication
This domain tests whether you can turn analysis into a decision. Expect questions on stakeholder communication, data ethics, documentation, uncertainty, and presenting recommendations without overclaiming.
Core rules
- Lead with the decision-relevant finding, then show the evidence.
- Match detail to audience: executives need implications and options; technical peers need method and assumptions.
- State uncertainty with ranges, confidence, or limitations rather than false precision.
- Data ethics includes consent, privacy, bias assessment, transparency, and minimizing personally identifiable information.
- Document assumptions, data lineage, and known limitations so others can audit the work.
- Handle pushback with evidence and trade-offs, not defensiveness.
Worked example
A churn model has 0.82 recall but 0.30 precision. Reasoning: explain the trade-off in business terms. Of customers flagged for retention, only 30% actually churn, so most offers go to non-churners. If the offer is cheap, high recall may be acceptable; if it is expensive, raise the threshold and accept lower recall. Present the confusion matrix, cost assumptions, a recommendation, and a proposed test. Do not say the model is "82% accurate."
Traps
- Overclaiming causation from observational data.
- Hiding uncertainty or limitations to make a cleaner story.
- Using jargon with non-technical stakeholders.
- Ignoring disparate impact across groups.
- Presenting results without a recommendation or next step.
- Sharing sensitive data without consent or safeguards.