Accelerator Cliff Deferral Audit: Comp Plan Behaviour Diagnostic
A structured scorecard for sales leaders and comp designers to rate their live plan against five cliff-driven failure modes, identify which rep behaviours the plan is actively producing, and leave with a ranked fix list to bring to finance.
How to use it
Pull your current rate table, last four quarters of attainment distribution, and Q1 pipeline-at-open data before you start. Score each section independently, then total the scores to generate a priority ranking. Bring the completed scorecard, not just the summary, to any comp redesign conversation with finance or HR.
What's inside
- Five scored failure-mode sections covering sandbagging, pipeline depletion, forecast distortion, cliff-chasing concentration risk, and Q1 thin-ness
- Scoring rubric with explicit 0-3 severity ratings and named observable signals for each level
- Rate table analysis instructions with worked threshold examples
- Behaviour-to-remedy mapping table linking each failure mode to a specific structural fix
- Priority ranking calculator based on raw scores plus business-impact weighting
- "When the score is misleading" section covering small teams, seasonal businesses, and new plan years
- Named remedies defined: smoothed curve, rolling attainment window, and rate-gap reduction
- Pass/fail threshold guidance: what total score triggers immediate redesign versus monitored watch
What this scorecard does
Step-function accelerator cliffs produce three well-documented rep behaviours: sandbagging deals into the next quarter when a rep is close to a cliff and the timing is controllable, pipeline depletion when a rep who pushed hardest in a bad market hits Q1 with nothing left to close, and forecast distortion when cliff-chasing creates artificial late-quarter surges that mask real demand patterns. This audit scores your live plan against the structural conditions that generate each behaviour. You finish with a ranked list of changes, not a vague sense that something is wrong.
Time required: 45-60 minutes with your rate table and four quarters of attainment data open.
Before you score: pull these inputs
| Input | Where to get it |
|---|---|
| Current commission rate table (all bands and thresholds) | Comp plan document or HRIS |
| Attainment distribution for last 4 quarters (per rep, not average) | CRM or BI tool |
| Quarter-end close pattern: % of bookings closed in final 2 weeks of each quarter | CRM close date data |
| Q1 pipeline at day 1 of Q1, last 2 years | CRM snapshot or forecast archive |
| Number of reps who hit >120% attainment in any single quarter | Attainment distribution above |
Scoring key
Each section scores 0-3.
| Score | Meaning |
|---|---|
| 0 | No evidence of this failure mode in the current plan |
| 1 | Structural conditions exist but weak signal |
| 2 | Clear structural conditions and at least one observable signal confirmed |
| 3 | Strong structural conditions and multiple observable signals confirmed |
Section 1: Sandbagging cliff (Failure Mode: Deal deferral)
What to look for: A single attainment threshold where the commission rate jumps by more than 15 percentage points, combined with a plan that resets to zero at quarter end rather than rolling.
Rate table check: Identify your largest single step in commission rate across any attainment band. Calculate the uplift as a percentage of the lower rate.
| Rate jump size | Score |
|---|---|
| <10 pp jump at any single threshold | 0 |
| 10-15 pp jump, quarterly reset | 1 |
| >15 pp jump, quarterly reset | 2 |
| >15 pp jump, quarterly reset, AND >30% of Q4 bookings close in final 2 weeks | 3 |
Observable signals to check:
- Reps regularly ask to push close dates on deals already verballed in week 12/13 of a quarter
- CRM shows a spike of "close date moved to Q+1" edits in the final fortnight of quarters where the rep is sitting at 85-95% attainment
- Your quarter-end close pattern shows >35% of bookings in the final 2 weeks consistently
Your score, Section 1: ___/3
Remedy if score 2+: Smoothed accelerator curve. Replace the step function with a continuous rate increase so every incremental pound of revenue earns a higher rate than the one before it, with no single jump large enough to make deferral rational.
Section 2: Pipeline depletion cliff (Failure Mode: Q1 thin-ness)
What to look for: Reps who pushed hard in Q3/Q4 of the prior year hit accelerators, exhausted their pipeline to do it, and opened Q1 with fewer than 2x quota in qualified pipeline.
Rate table check: Does the plan reward end-of-year overperformance with a materially higher rate than mid-year overperformance? If yes, the plan structurally encourages pulling everything forward into year-end regardless of pipeline health.
| Q1 pipeline condition | Score |
|---|---|
| Q1 pipeline at open is consistently >2.5x quota for the team | 0 |
| Q1 pipeline at open is 2-2.5x quota | 1 |
| Q1 pipeline at open is 1.5-2x quota | 2 |
| Q1 pipeline at open is <1.5x quota OR reps who hit >120% in Q4 show Q1 attainment <70% the following quarter | 3 |
Observable signals to check:
- Your Q1 forecast accuracy is significantly worse than Q2-Q4
- Top performers in Q4 consistently underperform in Q1
- Pipeline review in January/February reveals a high proportion of early-stage deals with no near-term close path
Your score, Section 2: ___/3
Remedy if score 2+: Rolling attainment window. Measure attainment over a rolling 6 or 12-month window rather than hard quarterly resets. A rep earns accelerator rates when their rolling total exceeds rolling quota, removing the incentive to hollow out future pipeline to hit a single-period cliff.
Section 3: Forecast distortion cliff (Failure Mode: Artificial quarter-end surge)
What to look for: A consistent spike in deal volume or deal size in the final two weeks of a quarter that does not reflect actual buying patterns, combined with a corresponding trough in the first two weeks of the following quarter.
Rate table check: If your accelerator rates reset hard on the last day of the quarter, the plan is structurally creating pressure to compress customer buying cycles into the quarter boundary regardless of readiness.
| Close pattern data | Score |
|---|---|
| Final 2 weeks account for <25% of quarterly bookings | 0 |
| Final 2 weeks account for 25-35% of quarterly bookings | 1 |
| Final 2 weeks account for 35-45% of quarterly bookings | 2 |
| Final 2 weeks account for >45% of quarterly bookings OR average deal size in final 2 weeks is >20% higher than the rest of the quarter | 3 |
Observable signals to check:
- Finance flags revenue recognition issues tied to quarter-end deals
- Customer success reports a spike in unhappy new customers onboarded in the first weeks of each quarter (deals that were forced closed before the customer was ready)
- Your forecast at week 10 of a quarter is regularly overstated relative to what actually closes in weeks 10-12
Your score, Section 3: ___/3
Remedy if score 2+: Rate-gap reduction combined with a smoothed curve. Reduce the absolute difference between your floor rate and ceiling rate so the financial incentive to distort timing is smaller. If the ceiling rate is more than 3x the floor rate, the gap is almost certainly producing distortion.
Section 4: Concentration risk cliff (Failure Mode: Cliff-chasing at the expense of portfolio balance)
What to look for: Reps ignoring smaller deals or early-stage pipeline because all the cliff-chasing energy is focused on the one or two deals that will tip them into the next band.
| Attainment distribution pattern | Score |
|---|---|
| Team attainment is distributed broadly (20%+ of reps in each of: <80%, 80-100%, 100-120%, >120%) | 0 |
| Team attainment clusters tightly around a single threshold (e.g., 50%+ of reps finish within 10 pp of the same number) | 1 |
| Clustering is present AND average deal count per rep is falling while average deal size is rising | 2 |
| All of the above AND pipeline coverage for sub-£50k deals (or your SMB equivalent) has declined >20% YoY | 3 |
Your score, Section 4: ___/3
Remedy if score 2+: Review whether your rate table implicitly encourages large-deal concentration. If accelerators only trigger at high attainment levels that require big deals to reach, add a separate activity or pipeline rate for smaller deals, or lower the first accelerator threshold so it is reachable through consistent mid-market volume.
Section 5: Reset cliff (Failure Mode: End-of-year behaviour change)
What to look for: Reps behaving materially differently in the final quarter of the year compared to Q1-Q3, specifically pushing deals or discounting more aggressively because year-end resets remove any incentive to pace.
| Behavioural signal | Score |
|---|---|
| No observable difference in close rates, discounting, or urgency language between Q4 and Q1-Q3 | 0 |
| Minor increase in Q4 close rates that is plausibly explained by seasonality | 1 |
| Q4 discounting is >10% deeper on average than Q1-Q3 without a business justification | 2 |
| Q4 discounting is >10% deeper AND Q4 close rates spike >15 pp above Q1-Q3 average, then fall sharply in Q1 | 3 |
Your score, Section 5: ___/3
Remedy if score 2+: Annual rolling attainment or a multi-year vesting accelerator. If top performers know their accelerator earnings carry forward, the incentive to hollow out margin in Q4 disappears.
Priority ranking calculator
Total your five section scores.
| Total score | Interpretation | Action |
|---|---|---|
| 0-3 | Low cliff risk | Annual review, no urgent change |
| 4-6 | Moderate cliff risk | Address highest-scoring sections before next plan year |
| 7-10 | High cliff risk | Present to finance within current quarter with specific remedy proposals |
| 11-15 | Critical cliff risk | Comp plan is actively damaging forecast accuracy, pipeline health, or customer outcomes. Escalate immediately. |
Ranked fix list: List your five sections in descending score order. The highest score is your first conversation with finance. Bring the rate table data and the observable signal evidence from that section. Do not walk in with a general complaint about cliff design. Walk in with: the specific threshold, the specific rate jump, and the specific behavioural data.
| Priority | Section | Score | Remedy |
|---|---|---|---|
| 1 | /3 | ||
| 2 | /3 | ||
| 3 | /3 | ||
| 4 | /3 | ||
| 5 | /3 |
When this score is misleading
- Teams of fewer than 6 reps: Attainment distribution patterns are not statistically meaningful. Focus on the rate table structure only (Sections 1 and 3), not the distribution signals.
- First year of a new plan: You may not have four quarters of attainment data. Score what you can and flag the gaps explicitly rather than assuming a 0.
- Highly seasonal businesses: A Q4 close-date spike may reflect genuine buying patterns, not cliff-chasing. Cross-reference with prior years before scoring Section 3 at 2 or 3.
- Plans with draw or guarantee periods: Rolling attainment remedies interact with draw mechanics in ways that can create new problems. Flag for specialist comp review before implementing.
Remedy definitions (reference)
Smoothed accelerator curve: Commission rate increases continuously as attainment rises, with no single threshold where the rate jumps by more than 5 pp. Every pound of revenue is worth slightly more than the one before it. Eliminates the binary cliff incentive.
Rolling attainment window: Quota and attainment are measured over a rolling period (typically 6 or 12 months) rather than resetting to zero at quarter end. A rep earns accelerator rates whenever their rolling total exceeds their rolling quota. Removes the timing incentive without removing the performance incentive.
Rate-gap reduction: The difference between the floor commission rate (0-50% attainment) and the ceiling rate (>150% attainment) is reduced to a ratio of no more than 2.5x-3x. Reduces the financial magnitude of cliff-chasing without eliminating the accelerator structure entirely.
The thinking behind this
Accelerator Cliffs Are a Behavioural Tax on Your Best Reps is the argument this resource puts to work.