mohitagw15856
5.4 KiB
skill, title, input, source
| skill | title | input | source |
|---|---|---|---|
| okr-builder | Okr Builder | Company objective: become the default analytics tool for startups. For the product team, next quarter. We care about activation, retention, and word-of-mouth growth. | generated by claude-sonnet-4-6 |
Q2 2025 OKRs — Product Team
North Star assumed from context: Startups that reach "activated" status and stay retained long enough to refer others. All OKRs ladder to becoming the default analytics tool for startups.
Objective 1: Make the first hour with our product undeniably valuable for every new startup
Why this matters: Startups evaluate tools fast and ruthlessly. If we don't deliver a clear "aha moment" in the first session, we lose them before retention is even possible — and word-of-mouth never starts.
| # | Key Result | Baseline | Target | Measurement Method |
|---|---|---|---|---|
| KR1 | New user activation rate (reaching "aha moment" milestone) increases | Baseline needed ⚠️ | +25pp above baseline | Product analytics event tracking |
| KR2 | Percentage of new signups who complete a meaningful analysis within their first session | Baseline needed ⚠️ | 55% of new signups | Session-level event funnel |
| KR3 | Time-to-first-insight for new users decreases | Baseline needed ⚠️ | Reduce by 40% | Median time from signup to first chart/report event |
Owner: Head of Product / Onboarding Squad Check-in cadence: Weekly
Objective 2: Turn activated users into loyal, long-term users who build workflows around us
Why this matters: Activation without retention is a leaky bucket. For startups to call us their "default" tool, using us needs to become habitual — not occasional.
| # | Key Result | Baseline | Target | Measurement Method |
|---|---|---|---|---|
| KR1 | 30-day retention for activated users increases | Baseline needed ⚠️ | 45% 30-day retention | Cohort retention report |
| KR2 | Weekly active usage rate among retained users (using product 3+ days/week) increases | Baseline needed ⚠️ | 35% of retained users | DAU/WAU ratio in product analytics |
| KR3 | Involuntary churn due to friction (support-flagged product issues) decreases | Baseline needed ⚠️ | Reduce by 30% | Support ticket tagging + churn reason attribution |
Owner: Head of Product / Retention Squad Check-in cadence: Weekly
Objective 3: Make our users the engine of our growth in the startup ecosystem
Why this matters: The fastest path to becoming the default analytics tool for startups is peer recommendation — founders trust other founders more than any marketing channel. We need to engineer the conditions for word-of-mouth, not hope it happens.
| # | Key Result | Baseline | Target | Measurement Method |
|---|---|---|---|---|
| KR1 | Net Promoter Score among activated startup users increases | Baseline needed ⚠️ | NPS reaches 45+ | Quarterly NPS survey (Delighted or equivalent) |
| KR2 | Percentage of new signups attributing discovery to peer referral or word-of-mouth increases | Baseline needed ⚠️ | 30% of new signups | Attribution survey at signup |
| KR3 | Number of startups that share a public link, embed, or export created from our product | Baseline needed ⚠️ | 20% of activated users share at least once | Share/export event tracking |
Owner: Head of Product / Growth Squad Check-in cadence: Weekly
⚠️ Health Check — Baseline Data Gaps
Every KR above is flagged because no baselines were provided. Before this OKR set is finalized, the team must pull current-state numbers for each metric. OKRs without baselines cannot be scored at quarter end.
Recommended action before Q2 kickoff:
| KR | Data Source to Pull Baseline From |
|---|---|
| Activation rate | Product analytics (Mixpanel, Amplitude, or equivalent) |
| First-session analysis completion | Event funnel in product analytics tool |
| Time-to-first-insight | Median time between signup event and first output event |
| 30-day retention | Cohort table in product analytics |
| Weekly active usage rate | DAU/WAU calculation |
| Involuntary churn (friction) | Support ticket audit, last 60 days |
| NPS | Run a one-time survey this week if no historical data exists |
| Word-of-mouth attribution | Add attribution question to signup flow immediately |
| Public share rate | Instrument share/export events if not already tracked |
Anti-Pattern Audit
Before submitting these OKRs, confirm none of the following slipped through:
- No output-based KRs — none of these say "launch X" or "ship Y"
- No binary KRs — every KR is scorable on a 0.0–1.0 scale
- No vanity metrics — downloads, pageviews, and raw signups intentionally excluded
- Baselines flagged — all gaps explicitly called out above
- Max 3 KRs per objective — all objectives within limit
- Connected to North Star — all three objectives ladder to "default analytics tool for startups"
Scoring Guide
At the end of Q2, score each KR from 0.0 to 1.0:
| Score | Meaning |
|---|---|
| 0.7–1.0 | Excellent. 0.7 is the sweet spot — if every KR scores 1.0, targets weren't ambitious enough |
| 0.4–0.6 | Progress made, but missed the target — understand why |
| 0.0–0.3 | Missed — hold a retrospective before setting Q3 OKRs |
Reminder: These OKRs are not a performance review. A team that scores 0.7 across the board has had a great quarter. Hitting 1.0 on everything means next quarter's targets need to be harder.