RevOps playbook · AI Employee: Rev

Comp & Quota Q&A

Fewer comp escalations to ops

The problem

Sales comp plans are complex and reps have questions all the time: "what's my accelerator kick-in", "how does the multi-year deal split", "when does my quota true-up", "what happens with the reassignment I got in Q2", "how much did I earn last week vs. my current attainment". Comp ops is understaffed; answers take 3-5 days; reps game questions they should know cold; year-end comp disputes are a swamp.

At a glance
Trigger
Chat
Approvals
None
What it does
Read-only
Systems
Comp plan KB · Xactly
How it feels in production

An hour-by-hour walkthrough.

AE John asks Rev: "how does the accelerator work if I hit 110% of quota this quarter?" Rev looks up John's comp plan (SR-AE-Enterprise-FY26), quota ($1.2M ARR quarterly), and current attainment ($1.05M, 88%): "Your plan: base commission 8% of ARR. Accelerator to 12% for attainment 100-125%, 16% above 125%. If you close $150K ARR this quarter (bringing you to $1.2M = 100% quota): 8% on the $1.2M = $96,000 commission. If you close $270K ARR (bringing you to $1.32M = 110%): 8% on first $1.2M = $96,000, plus 12% on the next $120K = $14,400. Total $110,400. Marginal earnings on that $120K over quota is $14,400 or effective 12%. To hit 125% ($1.5M) you'd need $450K this quarter. Currently in pipeline (per Salesforce): $380K weighted. Feasible if 2 stretch deals close." John: "what about the split with the AE that helped on DEAL-4211?" Rev: "DEAL-4211 is $80K ARR; you're primary AE, Sarah is teaming AE. Split per policy: 70/30. Your portion = $56K counts to your quota + commission. Sarah's $24K counts to hers." Every question grounded in the actual comp plan + real deal data. Rep understands their comp; comp ops handles genuine edge cases; year-end disputes drop significantly.
How it works

Step by step.

  1. 01

    Recognize comp / quota question + look up rep's plan

    Question intent + rep identity. Comp plan (base, tiers, accelerators, splits, spiffs) + current attainment + territory.

    Reasoning · CaptivateIQ · Xactly · Spiff · Salesforce
  2. 02

    Look up specific deals if referenced

    Deal reference resolution. Deal amount, product mix, split policy, current status. Cross-reference with plan.

    Salesforce · HubSpot · Deal-to-comp mapping
  3. 03

    Compute the answer grounded in plan + data

    Actual math with actual numbers. Accelerator kicks, split percentages, quota tracking, spiff eligibility. Never guesses; cites plan sections.

    Comp calculation · Plan citations
  4. 04

    Present with plan citations + follow-up options

    Direct answer with plan citation. Follow-up options: "see my complete attainment", "model different scenarios", "see all splits I'm on".

    Slack · Teams · Comp dashboard
  5. 05

    Escalate genuine ambiguity + feed FAQ

    Plan ambiguities escalate to comp ops for resolution. Repeated questions feed FAQ + plan-clarification suggestions.

    Comp ops · Analytics · Plan iteration
Systems and wiring

What you connect to make this run.

CaptivateIQ · Xactly · Spiff · Everstage

read

Comp plan definitions + attainment tracking + split policy. Read-only for Q&A.

Salesforce · HubSpot · CRM

read

Deal data + pipeline for scenario modeling. Real numbers for real answers.

Slack · Teams

read+write

Primary Q&A surface. Confidential per rep — one rep's comp not visible to peers.

Comp ops queue

read+write

Escalation for genuine ambiguity or plan-interpretation questions. Route with context bundled.

What changes

Before and after, honestly.

Time to answer comp questions
Before
1-5 business days
After
Under 30 seconds
Comp ops hours per week on rep questions
Before
20-40 hours
After
3-6 hours
Year-end comp disputes
Before
15-40 per year
After
1-5 per year
Rep understanding of their comp plan (self-report)
Before
3.0-3.5 / 5
After
4.5-4.8 / 5
Frequently asked

Answers about this playbook.

What if the comp plan itself has genuine ambiguity?

Rev flags the ambiguity + escalates to comp ops for interpretation. Interpretation logged so future questions get the same answer.

How does it handle mid-year plan changes?

Plan-effective dates tracked. Question about historical periods uses the plan in effect at that time; forward-looking uses current plan.

Can reps model 'what-if' scenarios?

Yes — scenario modeling supported. "If I close $X in the next 30 days, my commission would be Y and attainment Z." Real numbers, real plan.

How does it handle SPIFFs + accelerators + team competitions?

All incentive programs modeled per plan. Rev calculates SPIFF eligibility + accelerator kicks + competition standing per current data.

What about complex deal structures (multi-year, ramp, deferred)?

Deal structure applied to comp per plan rules. Multi-year: bookings-based vs. ARR-based commission (per plan). Ramp: recognition schedule aligned to plan.

See it run on your data.

Free plan, no credit card. Connect the systems this playbook needs and run it against a past event first.