Product Insights is a strategic role responsible for transforming data into foresight and foresight into action. Sitting at the intersection of product strategy, people analytics, and AI enablement, this role ensures our GP products and employee experiences are continuously guided by meaningful, predictive, and actionable insights. While Product Operations ensures discipline and execution, Product Insights ensures clarity of direction, confidence in decision-making, and measurable business impact.
1. Build and Scale the GP Product Insights Engine
· Design an enterprise framework that integrates employee voice, product telemetry, and business outcome data.
· Establish common taxonomies, KPIs, and standards for measuring product impact across the GP portfolio.
· Partner with People Analytics and Digital Technology to ensure scalable data infrastructure and governance.
2. Deliver Predictive and Actionable Foresight
· Translate signals from employees, markets, and operations into forward-looking insights that anticipate risks and opportunities.
· Provide scenario modeling and forecasts that shape GP product roadmaps and investment priorities.
· Create early warning systems for attrition, adoption gaps, and emerging employee needs.
3. Embed AI-Driven Analytics into GP Products
· Deploy advanced AI tools (predictive, generative, agentic) to personalize experiences and forecast trends.
· Partner with Product Managers and COEs to embed insights into the design of employee journeys and solutions.
· Continuously evaluate model performance, bias, and adoption to ensure ethical and effective use of AI.
4. Influence Executives through Data Storytelling
· Translate complex data into clear, compelling narratives that resonate with senior leaders and drive enterprise alignment.
· Act as a trusted advisor in portfolio councils and leadership forums, ensuring insights guide major decisions.
· Publish GP Product Insights reports and dashboards that tie employee experience directly to business outcomes.
5. Establish a Continuous Learning and Feedback System
· Build ongoing listening loops, retrospectives, and “voice of the employee” channels to capture real-time experience.
· Integrate internal adoption patterns as “customer zero” to influence both GP strategy and ServiceNow’s external products.
· Drive a culture of evidence-based iteration by ensuring every product release is assessed, measured, and refined.
Success Metrics
· Decision Adoption: % of GP and enterprise product portfolio decisions directly informed by Product Insights.
· Predictive Accuracy: Reduction in unanticipated workforce/product outcomes (e.g., attrition spikes, failed launches).
· Time-to-Foresight: Cycle time from signal detection (e.g., survey, telemetry, external trend) to executive insight.
· Customer Zero Leverage: Number of insights converted into commercial product enhancements or market narratives.
· Executive Confidence: Improvement in GP leadership’s perception of clarity, confidence, and data-driven decision-making.