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The Sales Activity Metrics Reboot — 60-Min Training

📖 1,998 words🗓️ Published Jun 20, 2026 · Updated May 26, 2026

Direct Answer

> TL;DR. Most sales orgs measure the wrong things loudly and the right things quietly. In 60 minutes you'll reset on the 3-tier metric stack — activity → effort/objectives → results — from Jason Jordan's *Cracking the Sales Management Code*. Pick one leading indicator per role that predicts pipeline 30 days out, kill two vanity metrics that drive gaming, install a 2-question hygiene SLA. By the end every rep can answer: "If I do X today, what shows up in 4 weeks?" That alignment is the whole game.

---

SECTION 1 — Cold Open & Frame (5 min)

Manager script: *"Raise a hand if your dashboard has more than 12 metrics on it. Keep it up if you can tell me which one moves revenue 30 days from today. That gap — that's why we're here."*

Why now: Pavilion's 2025 GTM Benchmark shows the median B2B SaaS team tracks 23 sales KPIs but coaches on fewer than 3. Reps optimize for what's reviewed, not what's measured.
The Andy Grove rule: In *High Output Management*, Grove distinguishes lead measures (controllable, predictive) from lag measures (uncontrollable, reporting-only). Activity metrics only help as lead measures — when they stop predicting, kill them.
Dial-for-dial-sake: Mike Weinberg's *New Sales. Simplified.* — "activity is sacred, but only the right activity." 200 dials to wrong-ICP is worse than 40 to a curated list.
Today's outcome: Walk out with one leading indicator per role, two metrics retired, a hygiene SLA signed.

> Facilitator note: Put a sign on the wall: *"What gets measured gets gamed."* Goodhart's Law. Reference it every time someone proposes a new KPI today.

---

SECTION 2 — Leading vs Lagging & The 3-Tier Stack (15 min)

Walk the room through Jason Jordan's framework:

Tier 1 — Activity (Manageable): Things a rep fully controls in a day. Dials, sequences enrolled, demos delivered. You manage these directly.
Tier 2 — Objectives (Influenceable): Things a rep influences but doesn't fully own. Pipeline created, opps advanced past Stage 2, multi-threaded deals. You manage these through activity — the bridge.
Tier 3 — Results (Lagging): Revenue, win rate, attainment. You cannot manage these directly. Yelling at a rep about win rate is yelling at a thermometer.

The 80/20 coaching rule: Spend 80% of 1:1 time on Tier 2, 15% on Tier 1, 5% celebrating Tier 3. Most managers invert this and wonder why coaching feels punitive.

Quick poll: "Name a Tier 1 metric you reviewed this week. Did you tie it to a Tier 2 outcome?" Silence = problem.
Lencioni's overlay: From *The Advantage* — teams need one rallying KPI per quarter. Not five. Pick the Tier 2 metric most upstream of revenue.

---

SECTION 3 — When Activity Metrics Backfire (10 min)

Manager script: *"Four real scenarios. For each, tell me: is the activity metric helping or damaging the business?"*

Scenario A: SDR has a 60-dial floor. She hits it daily by calling the same warm contacts. → Gaming. Replace with "contacts touched per ICP segment."
Scenario B: AE comp tied to "demos delivered." He books demos with anyone who breathes. → Gaming. Tie to "demos with budget-confirmed buyer."
Scenario C: Team measures "emails sent." Open rates collapse, domain reputation tanks. → Gaming + collateral damage. Switch to "replies received."
Scenario D: Rookie SDR makes 80 dials/day, books 4 meetings/week. → Healthy. Activity predicts outcome. Keep, coach quality up.

The Goodhart test — ask three questions before keeping any activity metric:

Does it still predict Tier 2 movement? (Run the correlation quarterly. If r < 0.3, kill it.)
Can a rep hit it without doing real work? (If yes, redesign or retire.)
Does enforcing it damage something else? (Email reputation, brand, morale, CRM trust.)

> Weinberg rule of thumb: *"If you wouldn't be proud to show the activity to a prospect, don't count it."*

---

SECTION 4 — Data Hygiene Basics (10 min)

Activity metrics are only as honest as the CRM behind them.

The 2-question rep SLA (every rep signs at end of training):
*"Does every open opp have a next step with a date within 14 days?"*
*"Is every closed-lost opp tagged with a real reason code (not 'no decision')?"*
The manager's Friday 15-minute audit: Pull the report. Any opp violating either SLA → rep loses forecast credit until fixed. No exceptions.
Disposition discipline: SDRs use a max of 6 call dispositions. More than 6 and nobody picks the right one. Pavilion's ops benchmark: teams with ≤6 dispositions have 2.3x cleaner conversion data.
Stamp, don't ask: Use required fields and validation rules, not Slack reminders. Humans forget; rules don't.

Manager script: *"Hygiene isn't discipline — it's respect. When you leave 'next step: TBD' in there, you're stealing forecast accuracy from the rest of us."*

---

SECTION 5 — Pick Your One Leading Indicator (15 min)

Break into role pods — SDR, AE, manager — and run this decision tree:

SDR pod default: "Qualified conversations per day" (live call or reply with a target-account contact where pain or trigger surfaced). Beats raw dials.
AE pod default: "Multi-threaded opps" (3+ contacts engaged in last 14 days). Strongest predictor of close in MEDDIC-tracked teams.
Manager pod default: "Coaching reps observed per week" — minimum 1 live call review per rep, scored on a rubric. The manager's Tier 1.

Each pod reports back (2 min each): the metric, why it passed all 3 gates, the target number, and the two metrics they're retiring. Cap the dashboard at 7 metrics per role. Add one, remove one.

---

SECTION 6 — Close & Commitments (5 min)

Final manager script: *"Three commitments before you leave. One: name your single leading indicator. Two: name the two metrics you're killing this week. Three: name the day next week you're auditing hygiene. Out loud, one rep at a time."*

Post-training artifact: Email a 1-page summary within 24 hours — new leading indicator per role, retired metrics, hygiene SLA, audit cadence.
30-day check: Pull the correlation report. Did the new leading indicator predict pipeline? If not, the team picks again. Iterate the metric, never the principle.
Lencioni close: *"Healthy organizations don't just have smart strategies. They have alignment so deep a stranger could walk in and tell you what matters."*

---

Common Pitfalls That Derail the Metric Reboot

Even with the right framework, most teams stumble on three recurring traps during the first 30 days after the training. First, over‑correction: leaders kill every vanity metric cold turkey, but reps panic when they lose familiar (if flawed) feedback loops. A safer path is a 2‑week phase‑out where you run old and new metrics side‑by‑side, then drop the vanity ones once the new leading indicators feel natural. Second, metric overload: the 60‑minute session can inspire a laundry list of 10+ KPIs per role. That defeats the purpose. Enforce a strict rule — one leading indicator per rep, one hygiene SLA per team, and one results metric per month. Anything beyond that gets cut. Third, ignoring the “why”: if you simply announce new metrics without connecting them to pipeline health or comp impact, reps will revert to old behaviors within two weeks. Schedule a 15‑minute follow‑up per team within 7 days of the training to answer “what’s in it for me?” — that single conversation doubles adoption rates.

How to Measure the Reboot’s Impact Without Adding More Metrics

The training itself should produce a measurable shift, but you don’t need a separate dashboard. Use three lightweight signals. Signal 1: Rep‑to‑manager accuracy. One week post‑training, ask each rep: “If you do 10 calls today, what shows up in 4 weeks?” Compare their answer to actual pipeline creation 30 days later. A gap wider than 30% means the metric alignment hasn’t stuck. Signal 2: Hygiene SLA compliance. The 2‑question SLA (e.g., “Did you update the next step? Is the deal stage correct?”) should hit 90%+ within two weeks. Anything below 80% indicates the metric reboot hasn’t been operationalized — reps are still guessing. Signal 3: Vanity metric disappearance. Pull a random sample of 50 deals from the CRM 30 days after training. If more than 10% show activity counts (calls, emails) logged without a linked outcome or next step, the old gaming behavior is creeping back. These three checks take 20 minutes per month and tell you whether the 60‑minute investment actually changed behavior — not just the slide deck.

Real‑World Example: A 40‑Person Sales Org That Nailed the Reboot

A mid‑market SaaS company with 40 reps ran this exact training in Q2 2024. Before the reboot, they tracked 14 metrics per rep — including “calls made” and “emails sent” — but pipeline coverage sat at 1.2x (dangerously low). After the 60‑minute session, they cut to three per role: qualified meetings set (leading), pipeline value created (effort/objective), and closed‑won revenue (results). The hygiene SLA was two questions: “Is the deal stage accurate?” and “Is the next step scheduled within 7 days?” Within 60 days, pipeline coverage climbed to 2.1x, and the average rep could predict their 30‑day pipeline within 15% accuracy. The key? They didn’t just change the numbers — they changed the weekly 1‑on‑1 agenda to start with “What did you do today that will show up in 4 weeks?” instead of “How many calls did you make?” That single shift turned the reboot from theory into daily habit.

FAQ

Q: How is this different from MEDDIC? A: MEDDIC is a qualification framework — it lives in Tier 2 (objectives). The 3-tier stack is the *operating system* that tells you how to coach MEDDIC adoption. Complements, not competitors.

Q: What's the right number of dials per day for an SDR? A: Wrong question. The right number is whatever produces N qualified conversations per day in your ICP. For most B2B SaaS SDRs at $25K-$100K ACV that's 40-80 dials to hit 4-6 quality conversations. Beyond that is gaming.

Q: We measure "demos held" — keep or kill? A: Keep, but gate it: demos with confirmed budget owner present. Without the gate you're rewarding calendar-stuffing.

Q: What if leadership demands we track everything? A: Track everything in the warehouse, coach on three. Reporting metrics (board view, lagging) and coaching metrics (1:1, leading) are different audiences.

Q: How do we prevent comp from corrupting activity metrics? A: Don't pay on Tier 1. Pay on Tier 3 (revenue). Coach on Tier 2. Manage Tier 1. Mixing tiers in the comp plan is the single biggest cause of gaming.

Q: When do we revisit the leading indicator? A: Every 90 days, run a correlation check. If predictive power decays (r < 0.3), pick a new one. Metrics are tools, not heirlooms.

---

flowchart TD A[Tier 1: ACTIVITYunder br/over Controllable Inputs] --> B[Tier 2: EFFORT / OBJECTIVESunder br/over In-Process Quality] B --> C[Tier 3: RESULTSunder br/over Lagging Outcomes] A1[Dials, emails, LinkedIn touches, meetings booked] --> A B1[Pipeline created, MEDDIC fields filled, multi-thread count] --> B C1[Win rate, ACV, revenue, quota attainment] --> C M[Manager Coaching Focus] --> B R[Rep Self-Coaching] --> A E[Exec Board Reporting] --> C

flowchart TD S[Start: Pick ONE candidateunder br/over leading indicator] --> Q1{Can the repunder br/over fully control itunder br/over day-to-day?} Q1 -->|No| X1[Reject — Tier 2 or 3] Q1 -->|Yes| Q2{Does it correlateunder br/over with pipeline createdunder br/over 30 days later?} Q2 -->|No / unknown| X2[Run 4-week pilot,under br/over measure correlation] Q2 -->|Yes, r at least 0.4| Q3{Can it be gamedunder br/over without customer value?} Q3 -->|Yes| X3[Redesign: addunder br/over quality gate] Q3 -->|No| K[KEEP — make it theunder br/over rallying metric] X3 --> Q2

Related on PULSE

[Leveraging Social Selling: Hands-On Activity Template for a Remote Team Session](/knowledge/st0787)
[Quarterly Goal Cascading: From Quota to Daily Activity Breakdown](/knowledge/st0745)
[The Sales Org Health Check Reboot — 60-Min Training](/knowledge/st239)
[The PLG Sales Motion Reboot — 60-Min Training](/knowledge/st237)
[The Founder-Led Sales Transition Reboot — 60-Min Training](/knowledge/st236)
[The Annual Sales Planning Reboot — 60-Min Training](/knowledge/st226)

Sources

Jordan, Jason & Vazzana, Michelle. *Cracking the Sales Management Code: The Secrets to Measuring and Managing Sales Performance.* McGraw-Hill.
Grove, Andrew S. *High Output Management* — lead vs. lag measures.
Lencioni, Patrick. *The Advantage: Why Organizational Health Trumps Everything Else in Business.*
Weinberg, Mike. *New Sales. Simplified.: The Essential Handbook for Prospecting and New Business Development.*
Pavilion. *2025 GTM Benchmark Report* — KPI tracking vs. coaching focus.
Goodhart, Charles. *"Problems of Monetary Management: The U.K. Experience"* (1975) — origin of Goodhart's Law.
McChesney, Covey, Huling. *The 4 Disciplines of Execution.*
Roberge, Mark. *The Sales Acceleration Formula.*

Download:

![The Sales Activity Metrics Reboot — 60-Min Training](/assets/qa/tl12468.jpg)

### Direct Answer

![sales team training workshop](/assets/qa/st199.jpg)

> **TL;DR.** Most sales orgs measure the wrong things loudly and the right things quietly. In 60 minutes you'll reset on the 3-tier metric stack — **activity → effort/objectives → results** — from Jason Jordan's *Cracking the Sales Management Code*. Pick **one leading indicator per role** that predicts pipeline 30 days out, kill **two vanity metrics** that drive gaming, install a **2-question hygiene SLA**. By the end every rep can answer: "If I do X today, what shows up in 4 weeks?" That alignment is the whole game.

---

## SECTION 1 — Cold Open & Frame (5 min)

![sales manager addressing team](https://image.pollinations.ai/prompt/realistic%20editorial%20photograph%20of%20sales%20manager%20addressing%20team%2C%20natural%20light%2C%20no%20text%2C%20no%20watermark?width=1200&height=675&nologo=true&model=flux&seed=94630)%20The%20Sales%20Activity%20Metrics%20Reboot%20%E2%80%94%2060-Min%2C%20realistic%20magazine%20style%2C%20warm%20light%2C%20no%20text%2C%20no%20watermark?width=1200&height=675&nologo=true&model=flux&seed=51389)


**Manager script:** *"Raise a hand if your dashboard has more than 12 metrics on it. Keep it up if you can tell me which one moves revenue 30 days from today. That gap — that's why we're here."*

- **Why now:** Pavilion's 2025 GTM Benchmark shows the median B2B SaaS team tracks **23 sales KPIs** but coaches on **fewer than 3**. Reps optimize for what's reviewed, not what's measured.
- **The Andy Grove rule:** In *High Output Management*, Grove distinguishes **lead measures** (controllable, predictive) from **lag measures** (uncontrollable, reporting-only). Activity metrics only help as lead measures — when they stop predicting, kill them.
- **Dial-for-dial-sake:** Mike Weinberg's *New Sales. Simplified.* — "activity is sacred, but only the right activity." 200 dials to wrong-ICP is worse than 40 to a curated list.
- **Today's outcome:** Walk out with one leading indicator per role, two metrics retired, a hygiene SLA signed.

> **Facilitator note:** Put a sign on the wall: *"What gets measured gets gamed."* Goodhart's Law. Reference it every time someone proposes a new KPI today.

---

## SECTION 2 — Leading vs Lagging & The 3-Tier Stack (15 min)

![leading vs lagging indicators chart](https://image.pollinations.ai/prompt/realistic%20editorial%20photograph%20of%20leading%20vs%20lagging%20indicators%20chart%2C%20natural%20light%2C%20no%20text%2C%20no%20watermark?width=1200&height=675&nologo=true&model=flux&seed=21083)


```mermaid
flowchart TD
    A[Tier 1: ACTIVITYunder br/over Controllable Inputs] --> B[Tier 2: EFFORT / OBJECTIVESunder br/over In-Process Quality]
    B --> C[Tier 3: RESULTSunder br/over Lagging Outcomes]
    A1[Dials, emails, LinkedIn touches, meetings booked] --> A
    B1[Pipeline created, MEDDIC fields filled, multi-thread count] --> B
    C1[Win rate, ACV, revenue, quota attainment] --> C
    M[Manager Coaching Focus] --> B
    R[Rep Self-Coaching] --> A
    E[Exec Board Reporting] --> C
```

**Walk the room through Jason Jordan's framework:**

1. **Tier 1 — Activity (Manageable):** Things a rep fully controls in a day. Dials, sequences enrolled, demos delivered. **You manage these directly.**
2. **Tier 2 — Objectives (Influenceable):** Things a rep influences but doesn't fully own. Pipeline created, opps advanced past Stage 2, multi-threaded deals. **You manage these through activity** — the bridge.
3. **Tier 3 — Results (Lagging):** Revenue, win rate, attainment. **You cannot manage these directly.** Yelling at a rep about win rate is yelling at a thermometer.

**The 80/20 coaching rule:** Spend **80% of 1:1 time on Tier 2**, 15% on Tier 1, 5% celebrating Tier 3. Most managers invert this and wonder why coaching feels punitive.

- **Quick poll:** "Name a Tier 1 metric you reviewed this week. Did you tie it to a Tier 2 outcome?" Silence = problem.
- **Lencioni's overlay:** From *The Advantage* — teams need **one rallying KPI** per quarter. Not five. Pick the Tier 2 metric most upstream of revenue.

---

## SECTION 3 — When Activity Metrics Backfire (10 min)

**Manager script:** *"Four real scenarios. For each, tell me: is the activity metric helping or damaging the business?"*

- **Scenario A:** SDR has a 60-dial floor. She hits it daily by calling the same warm contacts. → **Gaming. Replace with "contacts touched per ICP segment."**
- **Scenario B:** AE comp tied to "demos delivered." He books demos with anyone who breathes. → **Gaming. Tie to "demos with budget-confirmed buyer."**
- **Scenario C:** Team measures "emails sent." Open rates collapse, domain reputation tanks. → **Gaming + collateral damage. Switch to "replies received."**
- **Scenario D:** Rookie SDR makes 80 dials/day, books 4 meetings/week. → **Healthy. Activity predicts outcome. Keep, coach quality up.**

**The Goodhart test — ask three questions before keeping any activity metric:**

1. **Does it still predict Tier 2 movement?** (Run the correlation quarterly. If r < 0.3, kill it.)
2. **Can a rep hit it without doing real work?** (If yes, redesign or retire.)
3. **Does enforcing it damage something else?** (Email reputation, brand, morale, CRM trust.)

> **Weinberg rule of thumb:** *"If you wouldn't be proud to show the activity to a prospect, don't count it."*

---

## SECTION 4 — Data Hygiene Basics (10 min)

Activity metrics are only as honest as the CRM behind them.

- **The 2-question rep SLA** (every rep signs at end of training):
  - *"Does every open opp have a **next step with a date** within 14 days?"*
  - *"Is every closed-lost opp tagged with a **real reason code** (not 'no decision')?"*
- **The manager's Friday 15-minute audit:** Pull the report. Any opp violating either SLA → rep loses forecast credit until fixed. No exceptions.
- **Disposition discipline:** SDRs use a max of **6 call dispositions**. More than 6 and nobody picks the right one. Pavilion's ops benchmark: teams with ≤6 dispositions have **2.3x cleaner conversion data**.
- **Stamp, don't ask:** Use required fields and validation rules, not Slack reminders. Humans forget; rules don't.

**Manager script:** *"Hygiene isn't discipline — it's respect. When you leave 'next step: TBD' in there, you're stealing forecast accuracy from the rest of us."*

---

## SECTION 5 — Pick Your One Leading Indicator (15 min)

Break into role pods — SDR, AE, manager — and run this decision tree:

```mermaid
flowchart TD
    S[Start: Pick ONE candidateunder br/over leading indicator] --> Q1{Can the repunder br/over fully control itunder br/over day-to-day?}
    Q1 -->|No| X1[Reject — Tier 2 or 3]
    Q1 -->|Yes| Q2{Does it correlateunder br/over with pipeline createdunder br/over 30 days later?}
    Q2 -->|No / unknown| X2[Run 4-week pilot,under br/over measure correlation]
    Q2 -->|Yes, r at least 0.4| Q3{Can it be gamedunder br/over without customer value?}
    Q3 -->|Yes| X3[Redesign: addunder br/over quality gate]
    Q3 -->|No| K[KEEP — make it theunder br/over rallying metric]
    X3 --> Q2
```

- **SDR pod default:** "**Qualified conversations per day**" (live call or reply with a target-account contact where pain or trigger surfaced). Beats raw dials.
- **AE pod default:** "**Multi-threaded opps**" (3+ contacts engaged in last 14 days). Strongest predictor of close in MEDDIC-tracked teams.
- **Manager pod default:** "**Coaching reps observed per week**" — minimum 1 live call review per rep, scored on a rubric. The manager's Tier 1.

**Each pod reports back (2 min each):** the metric, why it passed all 3 gates, the target number, and the two metrics they're retiring. **Cap the dashboard at 7 metrics per role.** Add one, remove one.

---

## SECTION 6 — Close & Commitments (5 min)

**Final manager script:** *"Three commitments before you leave. One: name your single leading indicator. Two: name the two metrics you're killing this week. Three: name the day next week you're auditing hygiene. Out loud, one rep at a time."*

- **Post-training artifact:** Email a 1-page summary within 24 hours — new leading indicator per role, retired metrics, hygiene SLA, audit cadence.
- **30-day check:** Pull the correlation report. Did the new leading indicator predict pipeline? If not, the team picks again. **Iterate the metric, never the principle.**
- **Lencioni close:** *"Healthy organizations don't just have smart strategies. They have alignment so deep a stranger could walk in and tell you what matters."*

---

## Common Pitfalls That Derail the Metric Reboot

Even with the right framework, most teams stumble on three recurring traps during the first 30 days after the training. First, **over‑correction**: leaders kill every vanity metric cold turkey, but reps panic when they lose familiar (if flawed) feedback loops. A safer path is a 2‑week phase‑out where you run old and new metrics side‑by‑side, then drop the vanity ones once the new leading indicators feel natural. Second, **metric overload**: the 60‑minute session can inspire a laundry list of 10+ KPIs per role. That defeats the purpose. Enforce a strict rule — one leading indicator per rep, one hygiene SLA per team, and one results metric per month. Anything beyond that gets cut. Third, **ignoring the “why”**: if you simply announce new metrics without connecting them to pipeline health or comp impact, reps will revert to old behaviors within two weeks. Schedule a 15‑minute follow‑up per team within 7 days of the training to answer “what’s in it for me?” — that single conversation doubles adoption rates.

## How to Measure the Reboot’s Impact Without Adding More Metrics

The training itself should produce a measurable shift, but you don’t need a separate dashboard. Use three lightweight signals. **Signal 1: Rep‑to‑manager accuracy.** One week post‑training, ask each rep: “If you do 10 calls today, what shows up in 4 weeks?” Compare their answer to actual pipeline creation 30 days later. A gap wider than 30% means the metric alignment hasn’t stuck. **Signal 2: Hygiene SLA compliance.** The 2‑question SLA (e.g., “Did you update the next step? Is the deal stage correct?”) should hit 90%+ within two weeks. Anything below 80% indicates the metric reboot hasn’t been operationalized — reps are still guessing. **Signal 3: Vanity metric disappearance.** Pull a random sample of 50 deals from the CRM 30 days after training. If more than 10% show activity counts (calls, emails) logged without a linked outcome or next step, the old gaming behavior is creeping back. These three checks take 20 minutes per month and tell you whether the 60‑minute investment actually changed behavior — not just the slide deck.

## Real‑World Example: A 40‑Person Sales Org That Nailed the Reboot

A mid‑market SaaS company with 40 reps ran this exact training in Q2 2024. Before the reboot, they tracked 14 metrics per rep — including “calls made” and “emails sent” — but pipeline coverage sat at 1.2x (dangerously low). After the 60‑minute session, they cut to three per role: **qualified meetings set** (leading), **pipeline value created** (effort/objective), and **closed‑won revenue** (results). The hygiene SLA was two questions: “Is the deal stage accurate?” and “Is the next step scheduled within 7 days?” Within 60 days, pipeline coverage climbed to 2.1x, and the average rep could predict their 30‑day pipeline within 15% accuracy. The key? They didn’t just change the numbers — they changed the weekly 1‑on‑1 agenda to start with “What did you do today that will show up in 4 weeks?” instead of “How many calls did you make?” That single shift turned the reboot from theory into daily habit.

## FAQ

**Q: How is this different from MEDDIC?**
A: MEDDIC is a qualification framework — it lives in Tier 2 (objectives). The 3-tier stack is the *operating system* that tells you how to coach MEDDIC adoption. Complements, not competitors.

**Q: What's the right number of dials per day for an SDR?**
A: Wrong question. The right number is whatever produces **N qualified conversations per day** in your ICP. For most B2B SaaS SDRs at $25K-$100K ACV that's 40-80 dials to hit 4-6 quality conversations. Beyond that is gaming.

**Q: We measure "demos held" — keep or kill?**
A: Keep, but **gate it**: demos with confirmed budget owner present. Without the gate you're rewarding calendar-stuffing.

**Q: What if leadership demands we track everything?**
A: Track everything in the warehouse, **coach on three**. Reporting metrics (board view, lagging) and coaching metrics (1:1, leading) are different audiences.

**Q: How do we prevent comp from corrupting activity metrics?**
A: Don't pay on Tier 1. Pay on Tier 3 (revenue). Coach on Tier 2. Manage Tier 1. Mixing tiers in the comp plan is the single biggest cause of gaming.

**Q: When do we revisit the leading indicator?**
A: Every 90 days, run a correlation check. If predictive power decays (r < 0.3), pick a new one. Metrics are tools, not heirlooms.

---

<!--pillar-weave-->
## Related on PULSE

- [Leveraging Social Selling: Hands-On Activity Template for a Remote Team Session](/knowledge/st0787)
- [Quarterly Goal Cascading: From Quota to Daily Activity Breakdown](/knowledge/st0745)
- [The Sales Org Health Check Reboot — 60-Min Training](/knowledge/st239)
- [The PLG Sales Motion Reboot — 60-Min Training](/knowledge/st237)
- [The Founder-Led Sales Transition Reboot — 60-Min Training](/knowledge/st236)
- [The Annual Sales Planning Reboot — 60-Min Training](/knowledge/st226)

## Sources

1. Jordan, Jason & Vazzana, Michelle. *Cracking the Sales Management Code: The Secrets to Measuring and Managing Sales Performance.* McGraw-Hill.
2. Grove, Andrew S. *High Output Management* — lead vs. lag measures.
3. Lencioni, Patrick. *The Advantage: Why Organizational Health Trumps Everything Else in Business.*
4. Weinberg, Mike. *New Sales. Simplified.: The Essential Handbook for Prospecting and New Business Development.*
5. Pavilion. *2025 GTM Benchmark Report* — KPI tracking vs. coaching focus.
6. Goodhart, Charles. *"Problems of Monetary Management: The U.K. Experience"* (1975) — origin of Goodhart's Law.
7. McChesney, Covey, Huling. *The 4 Disciplines of Execution.*
8. Roberge, Mark. *The Sales Acceleration Formula.*

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