Tellboard

HR leaders often export workforce data into spreadsheets because reporting definitions and source schemas differ across systems. Tellboard proposes a read-only semantic layer that answers approved headcount, attrition, compensation-distribution and hiring questions in plain language, then traces each result to a metric definition, source snapshot and scoped row set. The supplied research confirms two unified-connector options and a growing people-analytics market, while finding no confirmed small-business cross-system natural-language overlay in the examined package.

A plausible narrative is not a governed board metric. Employee identity, employment event, source-system field, normalized record, metric definition, cohort rule, suppression policy, query, result, analyst interpretation, reviewer approval, board delivery and later business decision must remain separate. Sensitive attributes and small cohorts require strict access, aggregation and purpose limits. The product must not rank workers, infer protected traits, diagnose causes or recommend individual employment actions.

Connector breadth and semantic mapping create implementation depth, but connector cost can compress smaller contracts and two of three cited capabilities remain unverified. Numeric provider, category and product figures are omitted because they are observed market references, not fixed product pricing.

A people-operations, HR analytics or finance leader at a growing organization whose board reporting crosses one or more workforce systems and repeated spreadsheet work.