Boost Growth with Data-Driven Product Experiments - No Calls!Boost Growth with Data-Driven Product Experiments - No Calls!
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Gledi Mulla
pro
• 3h
I help teams make confident product decisions with fast, data-backed experiments — all without scheduling calls.
If your roadmap feels full of guesses, I turn analytics and user research into short, focused experiments that prove what’s worth building and what isn’t. The goal is simple: reduce rollout risk, move your key metric, and give engineers clear, implementable next steps.
I partner with early-stage startups and growth teams, especially engineering-led shops that want pragmatic specs rather than theory. The problems I most often solve are onboarding drop-off, checkout conversion leaks, and prioritization between competing feature bets.
For a short sprint I’ll deliver a one-page hypothesis mapped to KPIs, a quick prototype (Figma or plain HTML), success criteria, and a concise results brief with implementation-ready tickets. For ongoing work I run 2–3 experiments per month, maintain a simple monitoring dashboard, and hand off an ordered backlog your engineers can pick up immediately.
How we work (async):
Send a short brief: one-sentence product description, the single metric you want to move, and your biggest constraint.
I review the brief and reply with a scoped experiment plan, timeline, and fixed price.
You approve by message; I deliver prototypes, test plans, and tickets through messages or shared files (Figma, Google Drive, Notion, GitHub).
After the experiment, I send a compact results summary and a prioritized list of next steps ready for implementation.
I’m taking one new short sprint this month. Experiment Sprint (1–2 weeks): $X flat. Monthly Growth Engagement: $Y / month. Advisory or task work: $Z / hour or fixed-fee for scoped tickets.
No calls — just send me: 1) one-sentence product description, 2) the metric you most want to move, 3) your biggest constraint. I’ll reply with a scoped experiment plan and estimate within 48 hours.
Engineering-minded product practitioner who runs rapid experiments to turn data and research into measurable growth — no calls required.
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