Add the Behavioral Layer Your People Analytics Stack Has Been Missing
You have built the capability. You have the HRIS data, the engagement survey results, the attrition models. What you are missing is the behavioral layer — the real-time signal that tells you what people are actually doing, not just what they are reporting. Prodoscore provides the activity data that completes your people analytics stack and turns your models from descriptive to predictive.
Some of the companies that rely on Prodoscore
The Challenge
Most people analytics functions are working with data that is either too lagged, too self-reported, or too siloed to drive genuinely predictive models. Engagement surveys measure sentiment at a point in time. HRIS data captures events after they happen. Without a continuous behavioral signal, the gap between what the data says and what is actually happening in the organization stays wide.
Most people analytics models tell you what happened — who left, who underperformed, who got promoted. Prodoscore gives you the leading indicators that let you get ahead of those events before they are already in the rearview mirror.
Manager evaluations and employee surveys reflect perception as much as reality. Prodoscore’s activity data is objective, continuous, and not subject to distortions from social desirability or recency bias.
The gap between business outcomes and the people data your team is working with is the activity layer: what people are doing, which tools they use, how frequently, and how that changes over time and that is exactly what Prodoscore captures.
What Prodoscore Adds to Your Stack
Continuous Behavioral Signal
Prodoscore captures activity data across every tool your workforce uses, every day…not as a snapshot, but as a continuous feed that gives your models the temporal resolution they need to identify trends, predict outcomes, and surface early warnings.
Organizational Network Analysis
Prodoscore’s ONA capability surfaces collaboration patterns, communication frequency, and cross-functional connection strength. That data is invaluable for succession planning, change-management impact analysis, and identifying informal influence networks that never appear on the org chart.
Flight Risk Modeling
Prodoscore identifies behavioral patterns that precede resignation six to nine weeks before the event. Combining that data with your existing HRIS and engagement data produces a flight-risk model with the kind of predictive lead time that enables intervention.
AI Adoption Analytics
As your organization deploys AI tools, Prodoscore provides the behavioral evidence of whether those tools are genuinely changing how work gets done. This feeds directly into your workforce transformation reporting, making the ROI case concrete.
Benchmarking Against the Market
Prodoscore’s benchmark data spans hundreds of organizations across industries. Your people analytics models can be contextualized against external norms, not just internal history, which significantly strengthens the narrative when you are presenting to the C-suite.
90 Days of Historical Data on Day One
Every new Prodoscore customer gets 90 days of historical activity data at implementation. Your team can start building and validating models immediately rather than waiting months to accumulate a usable baseline.
Integration-Ready
Prodoscore’s data can be connected to your existing analytics infrastructure. The platform delivers data through its dashboard and ProdoAI interface, and the Prodoscore team works directly with people analytics functions to support custom reporting and data export requirements.
Featured Resources
Prodoscore Strengths/Differentiators
Who We Serve
Prodoscore adds the continuous behavioral signal that most people analytics functions are missing. The platform delivers data through its dashboard and ProdoAI interface, and the Prodoscore team works directly with analytics functions to support custom reporting and data export requirements that connect to your existing infrastructure.
Prodoscore surfaces behavioral patterns that correlate with attrition risk six to nine weeks before a resignation. That lead time is long enough to enable meaningful intervention, and when combined with your existing HRIS and engagement data, it produces a flight risk model with substantially better predictive accuracy than survey-based approaches alone.
Every new Prodoscore customer receives 90 days of historical activity data at implementation. That means your team can begin building and validating models immediately rather than waiting months to accumulate a usable baseline.
