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Influence and Stakeholder Management Questions

The ability to persuade and align peers, leaders, and cross functional teams when you do not have direct authority, while managing stakeholder expectations and trade offs. This includes stakeholder mapping and analysis, building coalition support, framing recommendations to address different stakeholder priorities, and adapting messaging for technical, operational, or executive audiences. Candidates should be able to describe concrete approaches such as listening to constraints, using data and evidence to support proposals, negotiating trade offs, sequencing outreach before decision meetings, resolving disagreement and conflict, and demonstrating vulnerability and learning when plans change. Assessment covers influencing across teams, securing prioritization and resources, achieving stakeholder alignment on product or platform decisions, presenting to executives, and measuring follow through and outcomes.

EasyTechnical
0 practiced
List five persuasive framing techniques you use when presenting data-driven recommendations to executives (e.g., problem-first, impact-quantified). For each technique, provide a one-sentence example headline or phrasing that demonstrates how you'd frame the recommendation.
EasyBehavioral
0 practiced
Tell me about a time you disagreed with a stakeholder on the interpretation of an analysis. Use the STAR method: what was the situation, what were the differing interpretations, what actions did you take to resolve the disagreement, and what was the outcome? Highlight how you used data and listening to reach alignment.
EasyTechnical
0 practiced
A product manager asks for a complex ad-hoc analysis with a 48-hour turnaround, but you estimate you'll need five business days to clean data and validate results. How do you respond to the request, manage expectations, and propose alternatives or phased deliveries that deliver value within the tight timeframe?
HardTechnical
0 practiced
You're asked to build a stakeholder-facing scorecard that quantifies alignment and readiness for analytics initiatives (dimensions might include engagement, data maturity, resource commitment, and leadership support). Define the scorecard dimensions, proposed measurement methods (automated signals vs. surveys), a scoring algorithm (normalization and weighting), and how you'd use the scorecard to prioritize interventions and communicate status.
EasyTechnical
0 practiced
Define three simple metrics a data analyst can track to measure stakeholder adoption of a new dashboard (for example: unique viewers per week, average session duration, and voluntary feedback count). For each metric, describe how you would collect it (tooling or instrumentation) and one limitation to be aware of when interpreting it.

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