Scaling Product Analytics Without the Wait: How Stormly Delivers Fast, Reliable Insights for Growing Teams

At Stormly, we’ve built a product analytics platform for companies that want enterprise-grade insights without the wait. While our mission started by helping smaller teams compete with industry giants, we’ve since drawn the attention of large organizations looking for faster, smarter analytics workflows.

The Problem: Data Tools Slow Down Teams

Enterprise teams using traditional analytics tools face serious friction:

• Long onboarding processes delay action
• Product Managers struggle to find answers without data team support
• Report results are slow and often outdated

These issues mean missed opportunities and inefficiency. Our goal was to rethink the infrastructure behind dashboards and reports so that even at scale, Stormly remains fast, usable, and self-service.

Rethinking Scalability and Dashboards

Stormly users often manage 10+ dashboards with 100+ reports. However, on any given day, they might only interact with a fraction of them. Previously, our backend updated all reports continuously—even if most weren’t being viewed.

Avoiding Wasted Server Resources

We introduced a smart update system: if a dashboard or report hasn’t been opened in two weeks, it’s paused from auto-refreshing. As soon as a user accesses it again, it updates immediately with the latest data.

This reduces server strain and ensures that live reporting remains responsive, even when usage scales.

Real-Time, On-Demand Reporting

We also addressed load times. For example, reports like “Active Users” previously required three sequential queries—for daily, weekly, and monthly views. Now, we run those queries in parallel.

Result: Load time reduced by more than 50% on average across all report types.

This improvement makes Stormly one of the fastest analytics platforms in its class when handling large datasets.

By lightening the load on the query servers and stopping unneeded updates, we’ve made it a lot faster and easier for you to get the results you need.

Proving Our Vision: The R&D Feasibility Study

To validate and scale our approach, we launched a formal Feasibility Study, supported by Provincie Noord Holland.

Technical Research and Scalability Testing

We: - Conducted a full technical audit of our data pipelines - Ran benchmark and load tests on report generation - Developed internal tooling to simulate enterprise-level scale

We built and tested prototype architectures to ensure our infrastructure could handle increasing data volumes without trade-offs.

Besides the tech work, we spoke with decision-makers, product leaders, and engineers at large organizations to understand: - Where traditional tools fall short - What’s needed to replace or complement existing systems - How Stormly could fit in without steep learning curves

Research with Users and the Market

Our technical expertise was crucial in shaping our roadmap. We held in-depth discussions with experts in distributed databases, participated in accelerators, and validated product-market fit through user research.

We also conducted: - Competitive analysis to identify gaps in the current market - Email and LinkedIn outreach to gather feedback from decision-makers - Prototype testing to assess usability and functionality

These efforts helped us refine Stormly for large-scale environments, without compromising simplicity.

Market Fit through Events and Accelerators

We actively participated in:

• Nova Fintech Accelerator (Portugal), engaging with companies like Millennium Bank, Sibs, Banco Primus, and Jeronimo Martins. We were selected for four pilot projects.

• TNW Conference in Amsterdam, where we joined a roundtable on AI in analytics and met with peers and tech leaders.

These opportunities gave us high-impact feedback and confirmed demand for analytics tools that scale efficiently and remain easy to use.

What’s Now Live

Following this research, our first set of improvements is live:

• Dashboards auto-pause after inactivity (and refresh on demand)
• Report queries run in parallel
• Load times for standard dashboards and reports reduced by 50% or more

This means better performance for all users—whether you’re monitoring a single funnel or reviewing hundreds of cohort reports across markets.

What’s Next: Built for Enterprise, Without the Bloat

We’re continuing to evolve Stormly’s infrastructure to support more complex data models, faster onboarding, and more intuitive discovery for Product Managers.

If your team is struggling with slow dashboards, complex tools, or limited insights, now is the time to rethink your approach.

👉 Learn more about product analytics dashboards
👉 Explore our A/B testing suggestions
👉 Review our report builder and event trends tool
👉 See our Google Tag Manager integration —

Stormly’s mission remains unchanged: to deliver powerful product analytics for teams of any size—without the complexity. Now, we’re scaling that mission with enterprise-ready performance and user-first design.

Want to see it in action? Book a walkthrough and see how fast analytics can actually be.