1

Pipeline Reliability

Uptime and data freshness for pipelines owned. SLA adherence for data consumers.

Exceeds

Pipelines have near-100% uptime. Data freshness consistently meets SLA. Issues are caught and resolved before consumers notice.

Meets

Pipelines are generally reliable. Issues are resolved within expected timelines.

Below

Pipeline failures are frequent or slow to resolve. Data consumers are regularly impacted.

Example review phrases

  • "Zero pipeline-caused analyst blockers in Q3—99.4% uptime on all owned pipelines."
  • "Redesigned the Salesforce sync to be idempotent—eliminated the weekly manual reconciliation that consumed 4 hours of analytics time."
2

Data Quality

Accuracy, completeness, and freshness of data produced. Data validation practices.

Exceeds

Data quality issues are caught upstream, not discovered downstream by analysts or in dashboards.

Meets

Data is generally accurate. Validation exists for critical fields. Quality issues are addressed when found.

Below

Data quality issues surface regularly in dashboards or analyst work. Trust in the data layer is low.

Example review phrases

  • "Implemented dbt tests across the core revenue models—data quality issues dropped 80% in the first month."
  • "Analysts now trust the data layer without cross-checking source systems—a major shift from 6 months ago."
3

Stakeholder Enablement

Speed at which analysts, data scientists, and business stakeholders can get what they need.

Exceeds

Analysts can self-serve most requests. New data models are documented and accessible without hand-holding.

Meets

Fulfills data requests within expected timelines. Documentation is adequate for most use cases.

Below

Data requests create bottlenecks. Analysts depend on them to interpret or pull their own data.

Example review phrases

  • "Built a self-serve data catalog that reduced ad-hoc data requests by 60%—analysts can find and use models without tickets."
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Where do these examples come from in real reviews?

Most managers write performance reviews from memory—limited to what they personally observed. Confirm surfaces behavioral evidence from across the organization: who relied on this person, what they drove, how their impact extended beyond their direct manager's line of sight. Reviews written with Confirm's data are more accurate, more defensible, and faster to write.

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