How do I diagnose whether a rep needs coaching, training, or termination?
TL;DR (90-second summary): Pull 4 data points before deciding - ACTIVITY (dials/meetings vs. team percentiles), CONVERSION (funnel stage rates vs. team median), TERRITORY (TAM/ICP fit + prior-rep attainment), TENURE (ramp curve + months in role). Stack the answers; do NOT decide on a single metric. Below 30th percentile activity = coaching. Above-median activity + below-median conversion = training. Two reps failing same patch = territory. >18mo flat with no growth + multiple interventions tried = termination. Bridge Group 2024 pegs replacement cost at 1.5-2x OTE ($270K-$360K for $180K OTE rep), so the math almost always favors coaching first if there's >25% probability of recovery.
The Diagnostic Framework
Firing the wrong rep costs $80K-$360K in turnover + ramp loss (Bridge Group 2024). Keeping the wrong rep costs $200K+ in unrealized quota plus the morale tax - Gallup State of the Workplace 2024 finds one disengaged rep depresses adjacent rep productivity by 11-14%. CSO Insights (Korn Ferry 2023 World-Class Sales Practices Study) reports that organizations who run formal performance diagnostics before action retain 17 percentage points more high-performers vs. those who fire reactively. Gartner's 2024 Chief Sales Officer Survey (G00800431) found 64% of CSOs believe their managers are under-equipped to diagnose performance issues - the data is there but the framework is not. Get the diagnosis right.
STEP 0: CLEAN THE DATA FIRST Before you even open the dashboard:
- Pull dialer logs directly (Aircall, Dialpad, RingCentral, Five9) - NOT CRM-logged activity. CRM-logged calls are gameable; dialer logs are not.
- De-dupe meetings: Outreach/Salesloft sometimes double-counts auto-rescheduled events.
- Confirm quota was set correctly. If TAM coverage was off by >20%, you are diagnosing a quota error, not a rep error.
- Pull 30 days minimum, ideally 90, to filter noise.
- CALIBRATION SANITY CHECK: Before you trust the percentiles, plot a histogram of team activity. If the distribution is bimodal or has fat tails, percentile thresholds are misleading - use median and IQR instead.
- MULTI-RATER CALIBRATION: Have 2-3 managers independently score the same 5 rep calls using the same rubric. Cohen's kappa should be >=0.6 (substantial agreement); if lower, your rubric is the problem, not the rep.
- WILSON SCORE INTERVAL FOR SMALL SAMPLES: With <30 closed deals, point estimates of conversion rate are unreliable. Use a Wilson score 95% CI: a rep at 12% close rate on 25 deals could plausibly be anywhere from 5% to 27%. Don't fire on noise.
STEP 1: ACTIVITY (the foundation)
- Compute team 30th, 50th, 75th percentiles on dials, held meetings, and outbound emails.
- Below 30th percentile = coachable (effort/behavior).
- 50th+ = activity is fine; the leak is downstream - go to Step 2.
- Per Salesforce State of Sales 2024, top-quartile AEs spend 28% of their week selling vs. 23% bottom-quartile - a 22% relative gap that compounds over a quarter.
WORKED NUMERIC EXAMPLE - PERCENTILE MATH: Team of 10 AEs, last 30 days, dials/day: [22, 19, 17, 16, 15, 14, 12, 11, 9, 8]
- 75th percentile: 17 (top 3 reps)
- 50th percentile (median): 14.5
- 30th percentile: ~11
- Rep at 9 dials/day = below 30th percentile = activity coachable.
- Rep at 16 dials/day = above median = activity is fine, look at conversion.
Use the inclusive method (numpy.percentile or Excel PERCENTILE.INC) so all reps see consistent thresholds.
STEP 2: CONVERSION (the skill) Break the funnel into three stages:
- Meetings held -> opportunities (discovery quality)
- Opportunities -> late-stage (qualification, multi-threading, objection handling)
- Late-stage -> closed-won (negotiation, executive access, procurement)
| Activity | Conversion | Diagnosis | Fix |
|---|---|---|---|
| Low | High | Confidence/behavior gap | 30-day activity coach (cadence, time-blocking) |
| High | Low | Skill/training gap | 3-week MEDDPICC or Sandler bootcamp; reassess |
| High | High | Performing - develop | Promote, mentor, expand patch |
| Low | Low | Wrong fit, low motivation, or ceiling | PIP with crisp exit criteria |
ACTIVITY-TO-CONVERSION REGRESSION HEURISTIC: In most healthy teams, activity and conversion correlate at r approximately 0.35-0.55 (Bridge Group, ForceManagement field data). If a rep sits more than 1.5 standard deviations off the regression line, they are either gaming activity (high A, low C) or exceptionally efficient (low A, high C). Both warrant a 1:1 - for opposite reasons.
GONG/CHORUS COACHING SCORECARD (use these dimensions):
- Talk-time ratio (rep speaks <50% of call time on discovery)
- Question count (>=4 open-ended questions per discovery)
- Next-step booking rate (>=70% of discovery calls end with calendar invite booked live)
- Multi-threading (>=2 stakeholders on call by stage 3)
- Pricing discussed before stage 4 (red flag - leads to discounting)
If scorecard shows training is the gap, the fix is calibration sessions weekly, not termination.
STEP 3: TERRITORY (the fit)
- Compare attainment to the prior rep in the same patch and to peers with comparable TAM.
- Two consecutive reps failing in the same patch = the patch is broken, not the rep. Per Gartner 2024 Sales Force Effectiveness, 22% of quota misses trace to territory design.
- Account fit audit: ICPs aligned to product? Sandbagged territories produce false negatives in your diagnosis.
STEP 4: TENURE (the runway)
- <3 months: Always coachable. Don't even diagnose; just ramp.
- 3-6 months: Coachable with structured plan. Bridge Group median ramp is 5.3 months.
- 6-12 months: Below 60% by month 9 = formal PIP. Below 40% = accelerate exit timeline.
- >18 months, no growth: Termination on the table. Coaching ROI flattens past 18 months tenure.
EXPECTED-VALUE DECISION MODEL (the math): Let OTE = $180K, quota = $1.2M, current attainment = 58%. Three options:
- KEEP AS-IS: EV = ($1.2M * 0.58) - ($180K) = $516K contribution. Probability of improvement without intervention ~20%.
- PIP + COACH: Cost = $15K (coach + 60 days runway). Probability of lifting to 80% = 35% (per Korn Ferry meta-analysis). EV = 0.35 * ($1.2M * 0.80 - $180K) + 0.65 * ($1.2M * 0.58 - $180K) - $15K = ~$591K.
- TERMINATE + REHIRE: Replacement cost = $300K (DePaul ratio). New rep at 0% during 5-month ramp. EV first 12 months = ($1.2M * 0.40 ramp average - $180K) - $300K = -$48K.
In this case PIP wins by ~$75K vs keep, and beats fire by ~$639K. Always run the EV math before deciding. If the rep is at 30% attainment and tenure 24mo, fire wins. If at 70% and tenure 12mo, keep wins.
LEGAL / HR RISK CHECKLIST (DO NOT SKIP): Before terminating, run through this with HR and counsel:
- ADEA (Age Discrimination in Employment Act): if rep is 40+, document objective performance criteria parallel to younger reps held to the same standard.
- ADA (Americans with Disabilities Act): if rep has disclosed a disability, ensure reasonable accommodations were offered and documented.
- FMLA: if rep took recent FMLA leave, the timing alone creates a retaliation claim risk - consult counsel on a 90-day cooling period.
- State law: California, NY, Massachusetts have additional protections; offer letter and PIP must comply with state notice requirements.
- Severance: offer severance in exchange for a release; standard is 2-4 weeks per year of service for non-executive AEs.
The single biggest cause of wrongful termination suits in sales: inconsistent application of standards. If two reps have similar metrics and only one is fired, document why or settle for $50K-$200K later.
REP-PERSPECTIVE TRANSPARENCY FRAME: The rep should be able to answer 3 questions at any point during the diagnostic:
- What specific metrics am I being measured on?
- Where do I currently stand vs. the bar?
- What would I have to do, and by when, to clear the bar?
If the rep can't answer these, the manager has not communicated clearly - and any subsequent termination is procedurally weak. Document the conversation in writing, ideally email or a shared doc.
WHAT TO SAY IN THE 1:1 (verbatim opener): "I want to be direct with you about where you stand and what we're going to do about it. Your YTD attainment is 58% against an expected 80% by month 14. Activity is at 8 dials/day, which is below team 30th percentile of 11. Discovery-to-close is 12% vs. team median of 18%. I don't think this is a fit problem - I think it's a stacked activity-and-skill issue, and I think it's coachable. Here's the 60-day plan I want us to run together. If at the end of 60 days dials are at 14+ and conversion is at 15%+, we're back on track. If not, we'll have a different conversation. I want you to succeed here. What do you need from me?" Calm, specific, falsifiable, supportive. The opposite of a surprise.
REAL DIAGNOSIS EXAMPLE:
- Rep: 14mo tenure, 58% YTD quota, 8 dials/day (25th percentile), 12% discovery-to-close (team median 18%).
- Diagnosis: Stacked - activity AND conversion both below median. Not pure skill, not pure effort.
- Recommendation: 2-week MEDDPICC intensive PLUS daily morning huddle on activity. If dials don't reach 14/day and conversion doesn't lift to 15%+ within 30 days, formal PIP with 60-day clock.
PIP LETTER SKELETON (use, don't reinvent):
- Specific gap: YTD attainment 58% vs. expected 80% by month 14.
- Specific behavioral targets: at least 14 dials/day, at least 6 discovery meetings/week, at least 15% discovery-to-close.
- Support offered: 2hrs/week 1:1 coaching + MEDDPICC bootcamp budget.
- Timeline: 60 days from [date] to meet all 3 targets.
- Consequence: Failure to meet targets results in separation effective [date+60].
- Sign + countersign + HR file.
BEAR CASE - when this framework fails you:
- Garbage activity data. Reps gaming CRM logs makes percentile rankings fiction. Mitigation: dialer logs only.
- Wrong quota. Over-allocated quota by 20%+ makes every rep look broken. Audit quota vs. TAM before diagnosing.
- Manager bias. HBR 2023 found managers misclassify 30% of coaching cases as termination cases when they have not ridden along on 5+ calls in the prior quarter. Mandate 5-call shadow before any termination decision.
- Macro headwinds. In a down quarter where 70% of the team is missing, individual diagnosis is meaningless - reset the baseline first.
- Comp plan misalignment. If SPIFFs reward the wrong behaviors, you are punishing reps for following the comp plan you built.
- Survivorship bias in your benchmarks. If you only kept top performers, your team-median is artificially high - any new hire looks bad. Calibrate against industry benchmarks (Bridge Group, Pavilion) too.
- Comp-cycle timing risk. Firing a rep who is 60 days from a vesting cliff or accelerator threshold creates legal exposure under wage-and-hour claims AND morale damage. Consult Finance + Legal on timing.
- Sample size too small. With <20 closed deals, conversion rate confidence intervals are wide enough to render the diagnosis meaningless. Use Wilson score interval or wait for more data.
RED FLAGS FOR TERMINATION (not fixable):
- Knows the skill but won't apply it (proven in role-plays, absent live).
- Resistant to feedback in three consecutive 1:1s.
- 18+ months flat with no improvement under structured intervention.
- Territory is controlled-for and rep is still bottom decile.
- Attitude/integrity issue (coaching cannot fix character).
THE TIMELINE:
- Day 1-7: Diagnostic only. Don't coach yet.
- Day 8-21: ONE intervention (training OR activity coaching). One variable at a time or you will never know what worked.
- Day 22-60: Measure. Did activity move? Did conversion move?
- Day 61+: Decide - promote, retain, PIP, or exit.
RELATED FRAMEWORKS ON PULSE:
- /knowledge/q47 - How to design a fair sales quota distribution (Step 3 prerequisite)
- /knowledge/q63 - MEDDPICC for sales coaching: a hands-on guide
- /knowledge/q92 - Building a 30-60-90 day PIP that actually works
- /knowledge/q104 - Sales rep ramp time benchmarks by segment
- /knowledge/q115 - Coaching vs managing: when to step in and when to step back
- /knowledge/q142 - How to audit CRM activity hygiene before any rep evaluation
- /knowledge/q176 - Gong call scorecard rubric for AE coaching
- /knowledge/q203 - Sales comp accelerators and cliffs: legal exposure on terminations
PRIMARY SOURCES:
- Bridge Group 2024 SaaS AE Metrics Report: https://blog.bridgegroupinc.com/saas-ae-metrics-2024
- Pavilion 2024 GTM Benchmark Report: https://www.joinpavilion.com/benchmarks
- Salesforce State of Sales 2024: https://www.salesforce.com/resources/research-reports/state-of-sales/
- Gartner Sales Force Effectiveness 2024 (G00800431): https://www.gartner.com/en/sales
- Gallup State of the Workplace 2024: https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx
- Korn Ferry / CSO Insights World-Class Sales Practices Study: https://www.kornferry.com/insights/featured-topics/sales-transformation
- DePaul University Sales Effectiveness Center: https://business.depaul.edu/centers-institutes/sec/
- Harvard Business Review (manager bias): https://hbr.org/topic/subject/performance-management
- EEOC ADEA guidance: https://www.eeoc.gov/age-discrimination
- US DOL FMLA employer guide: https://www.dol.gov/agencies/whd/fmla/employer
- Cohen's kappa rater reliability: https://en.wikipedia.org/wiki/Cohen%27s_kappa
- Wilson score interval (small-sample CI): https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval#Wilson_score_interval
TAGS: performance-diagnosis, coaching-vs-training, termination, rep-evaluation, fit-assessment, pip, meddpicc, sales-management, gartner, gallup, salesforce-soss, bridge-group, pavilion, korn-ferry, ramp-time, quota-attainment, sales-coaching, hbr, adea, fmla, ada, gong, chorus, hr-compliance, ev-math, rater-reliability, wilson-score