GLEe

Use it when you need a simple, repeatable system to link your product vision to landing high-impact growth experiments.

What is it?

GLEe is a four-step product growth framework, Goals, Levers, Experiments, Evaluate, designed by Gibson Biddle to bridge the gap between strategy and execution.

It solves the all-too-common problem of disjointed roadmaps by forcing you to start with clear, measurable goals, pick the right growth levers based on your stage and audience, run rapid experiments, and then rigorously evaluate outcomes. Rather than guess which features or campaigns will move the needle, GLEe creates a feedback loop that speeds up learning and maximizes ROI on every initiative.

It works hand-in-hand with OKRs, AARRR metrics, and your existing analytics stack so you can integrate seamlessly into your current tooling.

Why it matters?

Without a tight feedback loop, teams waste months on features that don't move the needle. GLEe turns your roadmap into a disciplined learning engine, slashing waste, accelerating time to insight, and boosting growth velocity by focusing efforts on your highest-impact levers.

How it works

Growth co-pilot turns your toughest product questions into clear, data-backed recommendations you can act on immediately.

Goals

Kick off by defining 1–3 high-level objectives tied to business KPIs. Use OKRs or north-star metrics to keep your team aligned and avoid vague aspirations.

Levers

Map out 3–5 growth levers, acquisition, activation, retention, revenue, referral, that have the biggest impact on your goals. Prioritize based on your stage and data signals.

Experiments

For each lever, design lightweight, time-boxed tests (A/B tests, landing page prototypes, onboarding tweaks). Assign owners, success metrics, and guardrails to move fast without breaking things.

Evaluate

At the end of each cycle (1–2 weeks), analyze results against your goals. Double down on winners, kill losers, and capture learnings in a shared playbook for the next sprint.

Frequently asked questions

Growth co-pilot turns your toughest product questions into clear, data-backed recommendations you can act on immediately.

How is GLEe different from OKRs?

OKRs set your destination; GLEe builds the highway. You still use OKRs to define goals, but GLEe adds a structured system for picking levers, running experiments, and evaluating results so you actually hit those targets.

How is GLEe different from OKRs?

What exactly counts as a growth lever?

A growth lever is any mechanism you can pull to move a key metric, think acquisition channels, onboarding flow tweaks, pricing experiments, or referral incentives. Pick 3–5 that align best with your goals and audience data.

What exactly counts as a growth lever?

How long should each experiment run?

Aim for 1–2 week sprints: enough time to gather statistically significant results but short enough to iterate quickly. If you lack volume, extend to 3–4 weeks or validate with qualitative feedback.

How long should each experiment run?

Can I run multiple experiments on the same lever?

Yes, but avoid running conflicting tests on the same user cohort or metric. Split your audience or stagger tests so you can isolate each experiment's impact without contamination.

Can I run multiple experiments on the same lever?

Yes, but avoid running conflicting tests on the same user cohort or metric. Split your audience or stagger tests so you can isolate each experiment's impact without contamination.

How often should I revisit and update my goals?

Treat your goals as a 3-month horizon. At the end of each GLEe evaluation cycle, review progress, if you're on track, keep pushing; if you're off, adjust goals or shift levers for the next quarter.

How often should I revisit and update my goals?

Treat your goals as a 3-month horizon. At the end of each GLEe evaluation cycle, review progress, if you're on track, keep pushing; if you're off, adjust goals or shift levers for the next quarter.

You've run your first GLEe cycle and unearthed your fastest growth levers. Now run your experiments through the CrackGrowth diagnostic to catch hidden UX friction and double down on what really scales.

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