Business Context

QueryLoop is a B2B analytics platform that wants to strengthen its internal data-driven culture. Leadership says teams "ask lots of questions," but employee survey results suggest inconsistent use of data in decision-making. The COO wants a clear metric framework to measure whether the company is actually becoming more data-driven, not just talking about it.

Metric Scenario

In the latest quarter, 78% of employees said they are interested in working in a data-driven environment, but only 41% logged into the BI tool weekly, 29% of product and operations decisions included a documented metric review, and 52% of teams submitted at least one experiment or post-launch analysis. Voluntary attrition among analysts was 14% annually versus 9% company-wide. Leadership is asking whether employee interest in a data-driven environment is translating into measurable behavior, engagement, and retention.

Requirements

1. Define a primary KPI that measures adoption of a data-driven working culture.
2. Propose 3-5 supporting metrics that distinguish stated interest from actual behavior.
3. Explain how you would decompose the KPI to diagnose weak points across teams or employee cohorts.
4. Identify likely reasons the company sees high stated interest but lower observed usage.
5. Recommend concrete actions leadership should take if the KPI remains below target for two quarters.

Data Available

• employee_survey_responses: employee_id, quarter, interest_in_data_driven_environment_score, team, tenure
• bi_tool_usage: employee_id, login_date, dashboard_views, query_count, report_exports
• decision_reviews: decision_id, team, decision_date, included_metric_review_flag, owner_id
• experiment_registry: experiment_id, team, launch_date, analysis_completed_flag
• hr_employee_roster: employee_id, department, level, start_date, termination_date