How do you decide which sales metrics to put on the wall (public) versus keep private to managers?
Quick Answer
Public metrics motivate and align teams (win rate, pipeline value, closed deals). Private metrics protect vulnerability (activity ratios, deal velocity, rep-by-rep conversion). Transparency builds trust; overshare invites gaming and burnout.
Operator's Playbook
The Visibility Matrix
| Metric | Public? | Why | Risk |
|---|---|---|---|
| Revenue (monthly, ACV) | ✅ | North star, collective responsibility | None if context clear |
| New pipeline created | ✅ | Visibility into demand creation | Gaming (fake leads) |
| Deals closed | ✅ | Celebrates wins, tracks momentum | None |
| Win rate (by segment) | ✅ | Competitive health signal | If below 30%, crushes morale |
| Call activity, emails sent | ❌ | Vanity when disconnected from outcome | Reps chase volume, ignore quality |
| Deal velocity (avg days to close) | ❌ | Process insight, not rep judgment | Exposes sales ops delays + rep skill gaps |
| Rep conversion (SQL→opp, opp→win) | ❌ | Performance differential becomes visible | High performers isolated, low performers shamed |
| Quota attainment | ❌ | Personal comp exposure, negotiation leverage | Rep churn risk if public; motivation if structured |
| Forecast accuracy | ❌ | Reveals CRM discipline and leadership rigor | Honesty punished if forecast miss = termination signal |
Framework from Pavilion + Bridge Group research:
- Outcome metrics (deals, revenue, pipeline created) → PUBLIC — team moves together when shared target is visible
- Behavioral metrics (activity, calls) → PRIVATE — output, not effort, matters; activity obsession corrupts hiring
- Diagnostic metrics (velocity, conversion rate by stage) → Manager dashboard — uncover bottlenecks without blame theater
- Personal comp/quota → PRIVATE — protects negotiation, prevents resentment, lets reps own their number
Cadence:
- Publish team KPIs weekly (revenue, new pipeline, closed deals, win rate trends)
- Share one deep diagnostic per sprint in all-hands (e.g., "Opp-to-close slipped 3 days — ops discovered Slack approval loop; now 2 days")
- Manager 1:1s: activity + velocity + comp trajectory
Gotchas: OpenView and SaaStr data shows reps who see activity targets hit 200% of activity but 80% of revenue. MEDDPICC and Force Management frameworks both emphasize *outcome transparency* and *process privacy*. The Challenger Sale model warns: public call metrics = rep paralysis + call-aversion.
Credibility play: If you hide metrics reps suspect you're hiding, they assume conspiracy. Show the "why" — "We don't publish per-rep conversion because we're fixing Sandler-trained objection handling first, not blaming reps." Transparency about what you *don't* publish builds trust more than the metrics you do.
TAGS: metrics-transparency,dashboard-design,sales-ops,team-dynamics,compensation,cadence