Zach Tobin

Q.ai is a growing investment app with over 40,000 downloads. The founder hired me to increase their activation rate, giving me full autonomy to achieve the goal of 40%.

I nearly tripled the goal, driving a 112% increase in under four months. I achieved this using Meta's "Understand, Identify, Execute" growth framework.

I drove the framework end-to-end, including data analysis, user interviews, problem definition and prioritization, ideation sessions, roadmap creation, and execution. I also led experiment tracking, so the team could see their weekly impact and keep momentum in a fast-paced environment.

I shipped dozens of improvements, including investment recommendations, improved performance screens, push notifications, activation bonuses, streamlined account opening, and several major technical issues blocking activation.

TESTIMONIAL
"Zach over-delivered against our activation goal by focusing on the right problems, building alignment, and executing quickly. I highly recommend him for anyone needing to move growth metrics fast and effectively." – Founder and CEO, Q.ai

Fabulous is an award-winning behavioral science app that helps users build healthier daily habits. The founder reached out on LinkedIn to help increase revenue by converting more free trials to paid subscriptions.

I increased revenue by 20.2% against a holdout by championing Meta's "Understand, Identify, Execute" (UIE) growth framework across the company.

Drove the process end-to-end by aligning the team around the UIE framework, analyzing quantitative and qualitative data, creating crisp definitions of each problem, leading team brainstorms, creating the roadmap, and executing seamless launches every two weeks.

My product contributions include optimized pricing and framing, improved push notifications, premium feature gating, trial personalization, social proof, and a community feature allowing users to motivate each other organically.

TESTIMONIAL
"Zach built up our growth process by focusing on the right problems, ideas, and experiments. He drives revenue growth in a way that aligns with and energizes the team. I recommend him to anyone seeking growth." – Founder, The Fabulous.

This feature is a personalized in-app sleep coaching program that helps users improve their sleep by targeting specific habits, taking attainable steps over time, and tracking improvement.

I contributed to this project by:
• Coming up with the idea and driving it end-to-end through beta testing, launch, and iteration.
• Proving the concept with a no-code test using my own SQL queries and automated emails to a beta test group.
• Collaborating with the company's scientific advisors to craft tested coaching plans to help users address their problem areas.
• Shipping multiple iterations based on user feedback to increase actionability, success rate, and relevance across the company's user base.

Sleep coaching resulted in a 23% increase in the company's NPS, a reliable measure of customer loyalty and future growth.

I built this feature (publicly called Smart Temperature Autopilot) for a smart bed company. It is the only product that can actively intervene to improve sleep, achieving it through temperature and resulting in a deeper, more refreshing night's sleep.

I drove this project end to end by:
• Defining the feature, road mapping iterations, running beta tests, and owning analysis and continued feedback post-launch.
• Conducting interviews with power users to understand how they found their ideal temperature settings, which I used to create flowcharts for engineers to implement.
• Running extensive analyses to find correlations between temperature and sleep quality, which the company used to fuel their automation strategy.
• Owning beta-testing the ML team's algorithmic temperature models, which were highly sensitive (given that they may interfere with sleep), are now a core selling point of the product.

Smart Temperature Autopilot resulted in 30% of users reporting better sleep compared to the company's pre-launch benchmark.

As a new product manager consulting for a Series A company, the first step I took was to build a pipeline to consistently gather user insights, which would inform ideation and prioritization for the future.

I achieved this by:
• Coming up with the idea, writing the surveys, deploying them via in-app models, and building a results dashboard, all without engineering support.
• Influencing leadership by creating a compelling case for the project, which I achieved by outlining the long-term benefits of the data collected.
• Moving quickly to launch within my first few weeks and show value ASAP.
• Expanding system to send micro-surveys every 30 days, allowing the company to understand how user sentiment evolved.
• Presenting trends to the entire company weekly to keep teams focused on their most significant opportunity areas.

The insights uncovered by this system resulted in a 50% increase in NPS.