Revenue Operations & Alignment Flashcards
7 cards from real ATD practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Revenue Operations & Alignment flashcards as text
Which metric best measures the health of cross-functional alignment between sales, marketing, and customer success in a RevOps model?
Answer: Shared pipeline coverage ratio across all revenue teams
A shared pipeline coverage ratio reflects coordinated effort across all revenue-generating functions and is a true RevOps health indicator.
In a RevOps framework, what is the primary purpose of a unified revenue data model?
Answer: To enable consistent reporting and decision-making across sales, marketing, and CS
A unified revenue data model ensures all functions work from the same definitions and data sources, enabling accurate cross-functional reporting.
A sales enablement leader notices that marketing-qualified leads convert at 8% while sales-accepted leads convert at 45%. What RevOps action is most appropriate?
Answer: Align on a shared lead qualification definition and handoff criteria
The gap between MQL and SAL conversion signals a misalignment in qualification definitions that must be resolved collaboratively.
Which RevOps practice most directly reduces revenue leakage caused by poor handoffs between sales and customer success?
Answer: Implementing structured deal-to-CS handoff playbooks with defined data transfer requirements
Structured handoff playbooks with defined data requirements ensure CS has the context needed to deliver value from day one.
What is the key difference between Revenue Operations (RevOps) and traditional siloed sales operations?
Answer: RevOps aligns people, processes, and technology across all revenue-generating functions
RevOps breaks down departmental silos by creating a unified operational layer spanning marketing, sales, and customer success.
During a quarterly business review, the RevOps team finds that 30% of deals slip out of the quarter without closing. What is the most effective first step?
Answer: Analyze close date change patterns by rep, stage, and deal size to identify root causes
Root cause analysis of slippage patterns provides actionable data before implementing any process or incentive changes.
Which technology capability is most critical for a RevOps team implementing an account-based strategy?
Answer: Intent data integration that surfaces buying signals across target accounts
Intent data enables all revenue teams to prioritize and coordinate outreach to accounts actively researching solutions.