Draft OKRs

MEMO To: Grace Mensah, CPO From: Staff PM Date: Start of Q4 Subject: Q3 OKR Post-Mortem and Proposed Q4 Product OKRs

1. What Q3’s OKRs Actually Tell Us

At the all-hands, we celebrated a 0.81 average OKR score while the company failed its only two goals: Net Revenue Retention (NRR) dropped from 103% to 102% (target: 108%), and logo churn rose from 3.1% to 3.4% (target: 2.5%).

We achieved high team scores while losing customers because our OKR system rewards shipping features over changing customer behavior.

Outputs disguised as outcomes inflated our score. Ten of our 16 KRs were binary tasks (shipping features, running experiments, closing bugs). The Admin team even mislabeled "Launch 3 HRIS integrations" as an outcome. All 10 output KRs scored 1.00. If we strip out outputs and look only at true outcomes, our average score drops to 0.48. If we further remove technical uptime, the score for customer-behavior outcomes is 0.38.

The commercial outcomes we actually needed to move went backward. * Learner Engagement (0.00): Weekly active learners per seat (WAL/seat) fell from 0.31 to 0.29. Over 70% of paid seats sit unused each week. * Onboarding Speed (0.15): Days from contract to first learner barely budged from 34 to 31 days (target: 14). * Account Expansion (0.00): Seats added in existing accounts fell from 9,200 to 8,100 (target: 14,000).

Our three outcome wins were disconnected from retention: 1. Course completion rate (41% to 58%, score 1.00): This was largely a mirage. On August 1, we lowered the definition of "complete" from 100% of modules finished to 80% to match our certificate rule. We moved the goalposts mid-quarter and claimed a win. 2. App store rating (4.2 to 4.5, score 0.75): A vanity metric. It takes a tiny fraction of happy users to rate an app, which masks the fact that overall weekly usage shrank. 3. Uptime (99.93%, score 1.00): Good hygiene from Platform, but high availability doesn’t stop churn if nobody logs in.

Our outputs failed to move the outcomes they sat next to. * Admin shipped 3 HRIS integrations, yet time-to-first-learner stayed stuck at a month. Shipping an integration means nothing if admins don't adopt it during onboarding. * Learner shipped offline mode, streaks, and badges, yet weekly active usage dropped. Gamification only engages users who are already active; it doesn't get dormant seats in the door. * Growth ran 13 experiments and shipped upgrade prompts, yet added fewer seats than in Q2. You cannot prompt an admin to buy more seats when 71% of the seats they already pay for are gathering dust.

The Root Cause of Q3 Churn Exit interviews from 38 churned accounts make the causal chain clear: * 45% left because "our people didn't use it" (17/38). Another 24% (9/38) cited budget cuts, and 18% (7/38) consolidated into their HR system’s bundled LMS—both of which happen when an L&D team cannot prove ROI on Pathwise usage. * Crucially, accounts that reached their first learner within 14 days churned at a third of the rate of the rest. Right now, our average account takes 31 days—meaning the majority of new cohorts start life in the high-churn danger zone.

---

2. How Q4 OKRs Add Up to the Company Goal

To hit 108% NRR and 2.5% logo churn, Product must fix the sequence of value creation for an annual seat-based business:

1. Admin must compress onboarding under the 14-day threshold and get seats assigned, cutting early structural churn.
2. Learner must turn assigned seats into active weekly learners—both to stop the #1 churn reason ("people didn't use it") and to eat up seat capacity.
3. Growth must convert high seat utilization into mid-contract seat expansion and give L&D buyers the ROI proof they need to defend their budget at renewal.

---

3. Proposed Q4 OKRs (Learner, Admin, Growth)

Every KR below is a measurable customer behavior or business outcome. No roadmaps, features, or experiment counts are permitted on the scorecard.

#### Admin Team Role in Company OKR: Cut logo churn by getting accounts past the 14-day survival mark and driving seat provisioning.

Objective: Get every new account to fast, broad adoption. * KR 1: Reduce average days from contract signature to first learner from 31 days to 14 days. * KR 2: Increase the share of new accounts reaching their first active learner within 14 days from 28% (est. Q3 baseline) to 75%. (Note: Admin to confirm exact Q3 percentage in week 1). * KR 3: Increase average seat assignment rate (paid seats assigned to a named employee via HRIS or invite) within 30 days of contract from 52% (est. baseline) to 85%.

#### Learner App Team Role in Company OKR: Eliminate the #1 churn driver ("people didn't use it") by activating dormant seats and building a weekly learning habit.

Objective: Turn paid seats into weekly active learners. * KR 1: Increase Weekly Active Learners per paid seat (WAL/seat) from 0.29 to 0.42. * KR 2: Increase 30-day assigned-seat activation rate (share of newly assigned seats that start at least one course within 30 days) from 45% (est. baseline) to 70%. * KR 3: Increase course completion rate—held strictly to the constant 80%-module definition—from 58% to 68%.

#### Growth Team Role in Company OKR: Drive NRR from 102% to 108% by expanding capacity-constrained accounts and arming buyers to prevent renewal down-sell.

Objective: Expand high-usage accounts and lock in renewals. * KR 1: Increase quarterly seats added in existing accounts from 8,100 to 14,500 (sized to make up the Q3 shortfall and hit 108% NRR). * KR 2: Increase the quarterly seat-expansion conversion rate among "at-capacity" accounts (accounts with >80% of paid seats assigned and active) from 12% (est. baseline) to 28%. * KR 3: Reduce gross revenue contraction from seat reductions at renewal from 4.5% (est. Q3 baseline) to 2.0% of renewable ARR (e.g., by proving ROI via the new reporting dashboard before renewal conversations).

---

4. Guardrails for Q4 Execution

1. Freeze the Metric Dictionary: No metric definition may change mid-quarter without CPO sign-off and a retroactive restatement of the baseline.
2. Track Outputs in Sprint Reviews, Not OKRs: Shipping features, running 12 experiments, or launching integrations are how we try to move KRs. If an experiment ships and the metric doesn’t move, the score is 0.00—which tells us in week 4 to pivot our approach before the quarter is lost.
3. Confirm Baselines by Friday: Where Q3 tracking didn't capture cohort rates (Admin KR2/KR3, Learner KR2, Growth KR2/KR3), Data and PM leads will pull exact Q3 actuals by Friday so our baselines are locked before Q4 kickoff.

MEMORANDUM

TO: Grace Mensah, Chief Product Officer FROM: Staff Product Manager DATE: October 3, 2024 SUBJECT: Q3 OKR Post-Mortem & Proposed Q4 Product OKRs

*

1. The Disconnect: What Q3 OKRs Actually Tell Us

At our recent all-hands, a product OKR score of 0.81 was celebrated as a “great quarter.” In reality, Q3 was a business failure: * Net Revenue Retention (NRR) dropped from 103% to 102% (Target: 108%). * Quarterly Logo Churn rose from 3.1% to 3.4% (Target: 2.5%).

The 0.81 score is a vanity metric masking acute operational disconnects across four distinct areas:

``` [Output Orientation: 9/16 KRs] ──> Shipped features, missed business outcomes [Metric Manipulation] ──> Completion rate rose via relaxed definition (100% -> 80%) [Activation Breakdown] ──> 31 days to 1st learner (Goal: 14) fuels 45% of churn [Premature Expansion] ──> Pushed upgrade prompts while seat activity fell to 29% ```

#### A. Feature Delivery Was Confused with Value Creation Nine of our 16 Key Results were binary outputs (shipping features or running counts). Teams scored 1.0 on outputs—shipping offline mode, streaks, dashboards, upgrade prompts, and integrations—while customer-facing outcomes collapsed: * Learner App scored 1.0 on features, yet Weekly Active Learners per seat fell from 0.31 to 0.29 (Target: 0.40). * Growth scored 1.0 on experiments and upgrade prompts, yet Seats added in existing accounts fell from 9,200 to 8,100 (Target: 14,000). * Admin delivered 3 HRIS integrations (misclassified as an “outcome”), but the actual outcome—Days from contract to first learner—only improved from 34 to 31 days (Target: 14).

#### B. Vanity Gains and Metric Redefinition Content claimed a 1.0 score by driving Course Completion Rate from 41% to 58% (Target: 55%). However, this was largely engineered by lowering the completion threshold on August 1 from 100% of modules to 80%. Artificially inflating course completions obscured stagnant baseline learner demand.

#### C. Product Neglect Directly Fed Q3 Exit Drivers Our exit interviews across 38 churned accounts reveal direct causation with our product failures: 1. "Our people didn’t use it" (17 accounts / 45%): Directly caused by dropping learner engagement (0.29 weekly active learners per seat). Gamification (streaks/badges) failed to solve core utility. 2. "Moved to HR system’s LMS" (7 accounts / 18%): While we launched 3 HRIS integrations, we treated them as tick-box deliverables rather than driving customer activation. 3. Budget cuts (9 accounts / 24%): When CFOs review seat utilization below 30%, unused seats are cut at renewal. 4. Onboarding Lag: Accounts reaching first learner within 14 days churn at one-third the rate of slower accounts. By taking 31 days to activate, Admin is losing accounts before they even start.

---

2. Strategic Narrative for Q4

We cannot expand accounts that are not using the product. To move NRR to 106% and logo churn down to 2.6%, the product strategy must execute in strict sequence across the account lifecycle:

``` [Admin: Days 1–14] [Learner App: Days 15–365] [Growth: Renewal & Expansion] Compress onboarding to <14d ──> Drive habitual weekly usage ──> Monetize 80%+ utilized accounts (Reduces churn by 66%) (Eliminates "nobody used it") (Reverses NRR contraction) ```

1. Admin (Time-to-Value): Compress onboarding to under 14 days using automated HRIS provisioning to unlock the 66% churn reduction.
2. Learner App (Habitual Engagement): Drive weekly active learners per seat from 0.29 to 0.40 to resolve the #1 churn driver and defend against budget cuts.
3. Growth (Expansion Based on Utilization): Stop spamming low-usage accounts with prompts; identify accounts reaching >80% active seat capacity and drive contract tier expansion.

---

3. Proposed Q4 OKRs (Learner App, Admin, Growth)

``` ┌──────────────────────────────────────────────────────────────────────────────────┐ │ COMPANY OBJECTIVE (CEO) │ │ Grow by keeping and expanding the customers we have │ │ NRR: 102% -> 106% │ Logo Churn: 3.4% -> 2.6% │ └───────────────────────┬──────────────────────────┬───────────────────────────────┘ │ │ ┌───────────────┴──────────┐ ┌───────────┴──────────────┐ ▼ ▼ ▼ ▼ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ ADMIN │ │ LEARNER APP │ │ GROWTH │ │ Time-to-1st- │ │ Weekly Active│ │ High-Utility │ │ Learner <14d │ │ Learners >38%│ │ Seat Growth │ └──────────────┘ └──────────────┘ └──────────────┘ ```

#### A. Admin Team * Objective: Accelerate customer time-to-value to protect new cohort retention. * Context: Closing the activation gap from 31 to 14 days addresses our highest-leverage retention vector. * Key Results: * KR 1 (Outcome): Reduce median Days from contract to first learner from 31 days to 14 days. * KR 2 (Outcome): Increase % of newly signed accounts with active HRIS employee sync within 7 days from 22% to 65% (Baseline: internal onboarding sample). * KR 3 (Outcome): Increase the percentage of invited admins who configure reporting within 10 days of signature from 28% to 60% (Baseline: Q3 dashboard launch data).

#### B. Learner App Team * Objective: Establish enduring learning habits to eliminate non-usage churn. * Context: Attacking the #1 churn reason ("people didn't use it") by lifting routine learner engagement rather than vanity completions. * Key Results: * KR 1 (Outcome): Increase Weekly active learners per seat from 0.29 to 0.38. * KR 2 (Outcome): Increase 4-week active learner retention (learners active in Week 1 who return in Week 4) from 34% to 48% (Baseline: Q3 cohort average). * KR 3 (Outcome): Reduce the percentage of licensed seats with zero activity in the trailing 30 days from 52% to 35%.

#### C. Growth Team * Objective: Capitalize on active accounts to drive sustainable seat expansion. * Context: Expansion must be an outcome of account saturation, not blind in-app prompts. * Key Results: * KR 1 (Outcome): Increase Seats added in existing accounts from 8,100 to 12,500. * KR 2 (Outcome): Increase account-level seat utilization (accounts with >80% active seats in past 30 days) from 19% to 32% (Baseline: Q3 active accounts). * KR 3 (Outcome): Convert 35% of accounts reaching >90% seat capacity into expanded contracts within 30 days (Baseline: 18%).

---

4. OKR Governance Rules for Q4

To ensure we never celebrate a 0.81 score while missing core business commitments again, I propose three immediate operating changes:

1. Zero Pure Output KRs: No KR may simply measure shipping code, closing tickets, or running experiments. Every KR must measure a verifiable shift in customer or business behavior.
2. Target Continuity & Definition Lock: Any changes to metric definitions (such as completion percentages) must maintain restated historical baselines and require Product Operations sign-off.
3. Cross-Functional Dependencies on Onboarding: Admin and Learner App will review weekly leading indicators (TTFL and weekly seat activation) jointly with Customer Success to intercept at-risk renewals early in the contract cycle.