--- id: ins_roberge-data-driven-coaching operator: Mark Roberge operator_role: Former CRO HubSpot (employee #4); Senior Lecturer Harvard Business School; author The Sales Acceleration Formula source_url: https://www.markroberge.com/ source_type: book source_title: "The Sales Acceleration Formula — The Management Formula" source_date: 2015-03-23 captured_date: 2026-05-05 domain: [sales-cs, leadership, gtm] lifecycle: [coaching-development, performance-management, manager-effectiveness] maturity: applied artifact_class: playbook score: { originality: 4, specificity: 5, evidence: 5, transferability: 5, source: 5 } tier: A related: [ins_roberge-sales-as-engineering-discipline, ins_roberge-structured-training] raw_ref: raw/expert-content/experts/mark-roberge.md --- # Coach on 1-2 specific peer-relative metric gaps per rep, generic coaching produces generic results ## Claim Sales managers should run data-driven coaching: for each rep, identify 1-2 specific metrics where they underperform relative to peers (not relative to absolute targets), and build monthly coaching plans around those gaps. Generic coaching ("you're doing well, keep it up" / "do better on discovery") wastes manager time and produces no measurable improvement. Narrow, peer-relative, metric-anchored coaching compounds. ## Mechanism Coaching has three failure modes that the formula corrects: (a) coaching on too many things at once dilutes effort; (b) coaching against absolute targets confuses motivation problems with skill problems; (c) generic coaching is unmeasurable, so neither manager nor rep can tell if it worked. Narrowing to 1-2 metrics per rep concentrates the coaching effort where it matters. Using peer-relative comparison ("you close at 18%, the team median is 26%, top quartile is 32%") gives the rep a concrete target and exposes whether the gap is a skill issue (the rep can't do what others do) vs. a motivation issue (the rep won't do it). Building a monthly plan with specific actions and a measurable check-in makes the coaching legible to both parties. ## Conditions Holds when: - The team has enough reps that peer benchmarks are statistically meaningful (typically 8+ reps). - Metrics are reliable enough that gaps are real, not artefacts of measurement noise or territory differences. - Managers have time and skill to run focused 1:1s; this can't be a checkbox exercise. Fails when: - Small teams where peer baselines are noisy. - Metrics are gamed (territory inflation, deal-stage manipulation) and gaps are misleading. - Managers don't have the analytical fluency to identify the right gap or design the right intervention. ## Evidence > "The Management Formula uses data-driven coaching where managers identify 1-2 specific metrics where each rep underperforms relative to peers and build monthly coaching plans around those gaps." ## Signals - Manager 1:1 docs include a specific metric gap and a specific monthly action plan, not generic encouragement. - Aggregate team metrics improve over quarters as gap-closing produces measurable lift. - Managers' own performance is evaluated on cohort-level success rate, not only individual-rep attainment (per `ins_skok-sales-rep-failure-rate`). ## Counter-evidence Pure metric-driven coaching can ignore qualitative dimensions, relationship quality, deal narrative, judgment in ambiguous situations, that don't show up in the dashboard but matter for high-ACV deals. The most senior reps in any org typically need coaching that goes beyond peer-relative metrics; the framework is sharpest for ramping reps and median performers. ## Cross-references - `ins_roberge-sales-as-engineering-discipline`, the parent framework; this is the management-formula component. - `ins_noise-vs-bias-judgment-quality`, Kahneman's noise concept applies: peer benchmarking surfaces the noise in individual rep performance vs. team baseline.