Startup Growth Plan

Company: [Company name] Owner: [Growth lead / founder] Period: [e.g., Q3 2026 — three months] Last updated: [Date]

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1. North-star metric

Our north star: [The single metric that best captures real user value, e.g., "weekly active teams".]

[One sentence on why this metric reflects genuine value and not vanity.]

2. Baseline and targets

Metric	Baseline (today)	Target (end of period)
[North-star metric]	[Current value]	[Target value]
[Supporting metric 1, e.g., activation rate]	[Current]	[Target]
[Supporting metric 2, e.g., 4-week retention]	[Current]	[Target]
[Supporting metric 3, e.g., referral rate]	[Current]	[Target]

3. Funnel snapshot

[Where are users dropping off today? Name the weakest funnel stage — this is your priority.]

• Acquisition: [How users find you now + main gap]
• Activation: [Share of new users who reach first value + main gap]
• Retention: [Do they come back? + main gap]
• Referral / Revenue: [Current state + main gap]

4. Prioritised channels

[The two or three channels you will focus on this period and why.]

• [Channel 1] — [Why it fits, who it reaches, expected role in the funnel]
• [Channel 2] — [Why it fits, who it reaches, expected role in the funnel]
• [Channel 3] — [Why it fits, who it reaches, expected role in the funnel]

5. Experiment backlog

#	Experiment	Hypothesis	Metric it should move	Owner	Effort
1	[Test name]	[If we do X, then Y will improve because Z]	[Metric + target lift]	[Name]	[S/M/L]
2	[Test name]	[If we do X, then Y will improve because Z]	[Metric + target lift]	[Name]	[S/M/L]
3	[Test name]	[If we do X, then Y will improve because Z]	[Metric + target lift]	[Name]	[S/M/L]
4	[Test name]	[If we do X, then Y will improve because Z]	[Metric + target lift]	[Name]	[S/M/L]

6. Budget

Channel / item	Spend (period)	Notes
[Channel 1]	[Amount]	[What it covers]
[Channel 2]	[Amount]	[What it covers]
[Tooling / other]	[Amount]	[What it covers]
Total	[Amount]

7. Owners and cadence

• Growth lead: [Name — owns the plan and the weekly review]
• Review rhythm: [e.g., weekly metrics check; experiments graded every two weeks]
• Decision rule: [How you decide to scale, iterate, or kill an experiment]