Sample output
Growth Decision Lab
Sample growth lab brief for Lumen Metrics (sample) with goals, metrics, and experiment backlog.
Use Overview, Actions, and Full brief to jump between the dashboard and narrative—the same brief preview tab you get after completing Discovery.
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# Growth Decision Lab — sample _Template growth_audit_v1 v1 · Growth Decision Lab_ --- # At a glance **Organization:** Lumen Metrics (sample) **Primary growth goal:** Increase qualified pipeline without adding headcount this quarter. **North-star metric:** Qualified discovery calls booked per month **Baseline -> target:** 18 per month -> 28 per month (90 days) ## Top bottlenecks - _To be confirmed_ ## Top 3 quick wins 1. Tighter ICP on landing pages for lead quality — upside _n/a_, payback _n/a_, owner Founder (assumption) 2. Partner webinar series to lift inbound discovery calls — upside _n/a_, payback _n/a_, owner Marketing lead (customer-signal) ## Role-based action views ### Owner view - Partner webinar series to lift inbound discovery calls (owner: Marketing lead, metric: _To be confirmed_) - Tighter ICP on landing pages for lead quality (owner: Founder, metric: _To be confirmed_) ### Marketing view - _No marketing-priority actions identified yet_ ### Ops/Build view - _No ops/build-priority actions identified yet_ _Evidence tags: data-backed, customer-signal, or assumption. Treat assumption-tagged recommendations as lower confidence until validated._ --- # Full brief # Baseline Capture your growth goal and current baseline in plain language. Rough values are okay for a first draft. ### Primary growth goal (next 90 days) > Increase qualified pipeline without adding headcount this quarter. ### North-star metric Qualified discovery calls booked per month ### Current baseline value 18 per month ### Target value 28 per month ### Target timeframe 90 days ### North-star volume per period (optional) 28 ### Business model _To be confirmed_ ### How confident are you in current data quality? Medium ### Stage conversion snapshot (optional) _To be confirmed_ ### Unit economics snapshot (optional) _To be confirmed_ ### Key assumptions to test (optional) _To be confirmed_ --- # Diagnose Assess funnel stage health and identify where growth is leaking. ### Acquisition health _To be confirmed_ ### Activation / onboarding health _To be confirmed_ ### Retention health _To be confirmed_ ### Revenue / monetization health _To be confirmed_ ### Referral / organic loop health _To be confirmed_ ### Top bottlenecks | Bottleneck | Stage | Evidence type | Why it matters | | --- | --- | --- | --- | | | | | | --- # Prioritize Convert findings into ranked experiments with business impact framing. ### Prioritized experiment backlog | Experiment | Stage | Role view | Impact (1-5) | Confidence (1-5) | Effort (1-5) | Estimated upside (optional) | Payback window (optional) | Owner | Leading indicator | Success metric | Lagging outcome metric (optional) | Guardrail metric | Decision rule (optional) | Evidence type | Notes (optional) | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Partner webinar series to lift inbound discovery calls | | | 4 | 3 | 3 | | | Marketing lead | | | | | | customer-signal | | | Tighter ICP on landing pages for lead quality | | | 3 | 4 | 2 | | | Founder | | | | | | assumption | | --- # Execute Turn priorities into a practical 30/60/90-day operating plan. ### 30/60/90-day action plan | Timeline | Action | Owner | Success signal | | --- | --- | --- | --- | | | | | | --- # Glossary (plain language) Simple definitions for common growth terms. Edit these so your team shares the same meaning. ### Growth terms | Term | Plain-language definition | | --- | --- | | North-star metric | The single main number that shows if your business is moving in the right direction. | | Baseline | Where your metric is today before changes are made. | | Target | Where you want your metric to be by a specific time. | | Bottleneck | The biggest constraint slowing growth right now. | | Experiment | A limited test you run to learn if a change improves results. | | Impact | How much upside the experiment could create if it works. | | Confidence | How sure you are that the experiment will work based on current evidence. | | Effort | How much time and work it will take to run the experiment. | | Leading indicator | An early signal that tells you quickly if an experiment is moving in the right direction. | | Lagging outcome metric | A slower business outcome that confirms whether the early signal produced durable results. | | Guardrail metric | A safety metric to ensure improvements do not hurt another critical area. | | Decision rule | A pre-defined rule for when to ship, iterate, or stop an experiment based on results. | | Payback window | How quickly the value from an experiment is expected to cover its cost. |