Degree to which a candidate aligns with existing culture and values.
Probability that an event has occurred by time t.
Current assets divided by current liabilities.
Selected customers giving feedback on roadmap and strategy.
Dependence on a few customers measured by revenue share.
Centralized academy for product learning and certification.
Survey metric assessing how easy it is for customers to achieve outcomes.
Composite index predicting likelihood of renewal or expansion.
Relentless focus on customer needs and outcomes.
Metric that reflects customer value realized.
Mapping proofs (logos, case studies) to segments and use cases.
Narrative case study demonstrating outcomes.
Post-sale function focused on adoption, outcomes, and expansion.
Decision model defining Driver, Approver, Contributors, Informed.
Untracked influence channels (e.g., communities, word-of-mouth, dark social).
Agreement on schema and SLAs between producers and consumers.
Canonical definitions for metrics and events.
Centralized storage for raw structured and unstructured data.
Decentralized data architecture treating data as a product owned by domains.
Principle to collect only data necessary for stated purposes.
Contract defining GDPR-compliant data processing between controller and processor.
Assessment for high-risk processing to individuals’ rights.
Requirement that data be stored within specific jurisdictions.
Product-level data retention aligned to compliance and costs.
Secure repository of diligence documents shared with investors or buyers.