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Influence and Thought Leadership Questions

Communicating to influence decision making, build consensus, and establish domain credibility. This covers explaining complex concepts to technical and non technical audiences, using data and structured reasoning to persuade, practicing active listening and adaptive communication, mentoring or publishing ideas that demonstrate thought leadership, and creating buy in for approaches across teams and stakeholders. Evaluation focuses on examples of influencing without authority, presenting a point of view, and contributing knowledge or perspectives that advance the organization.

HardBehavioral
0 practiced
A senior leader publicly rejects an analytics-driven recommendation during a company meeting, citing their own flawed analysis. You know their data is wrong. Describe the steps you would take to re-open the conversation, present corrected analysis, and influence a reversal without causing a public dispute or damaging relationships.
EasyTechnical
0 practiced
Active listening is a core skill for gathering BI requirements from stakeholders. Describe three concrete techniques you use when conducting stakeholder interviews to ensure you understand their needs, and explain how you validate you've captured requirements correctly.
HardTechnical
0 practiced
Design a scalable mentorship program across the analytics organization focused on improving influencing skills (storytelling, negotiation, executive presence). Include curriculum modules, frequency, mentor selection criteria, assessment methodology, and how you would secure leadership buy-in and budget.
MediumTechnical
0 practiced
Describe your approach to mentoring a junior BI analyst who struggles to present insights clearly. Include a plan for coaching sessions, example exercises to build storytelling skills, how you would give feedback, and how you would measure improvement over three months.
EasyTechnical
0 practiced
What are the essential elements of an effective data story when presenting BI findings to non-technical stakeholders? Describe the structure, the types of visuals you would use, how you'd surface uncertainty, and how you would end with a clear ask or recommendation.

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