
When a fast-moving company outgrows its internal monetization tooling, something has to give.
Like many growing teams, Miro’s monetization system evolved organically. It worked, until it didn’t.
As our product portfolio expanded, so did the pressure on our internal tooling: new products, tiered packages, usage-based pricing, AI-powered features, and ongoing pricing model experiments. It all pushed the limits of what our homegrown solution could handle.
What should’ve been a straightforward plan introduction became a multi-month, cross-functional initiative due to historical assumptions in the codebase. This was the wake-up call to the team. It wasn’t just frustrating. It was slowing us down.
We had a decision to make: keep investing engineering time in infrastructure that wasn’t core to our product, or partner with a platform built for this exact purpose.
We chose Stigg.
The solution: Flexibility, speed, and scale - without starting from scratch
We weren’t looking to rip everything out. Our internal tools worked for a lot of use cases but when we needed something new it was very complex to change. We needed something that could fit into our existing architecture, scale with us, and let teams move faster, without rebuilding everything from the ground up.
Stigg’s API-first platform plugged right into our stack. The way it modeled entitlements and plans just made sense, it felt native from day one. We quickly started using critical features we’d scoped internally, but never got live: volume pricing, add-ons, metered features. We are able to pick and choose which elements of the Stigg platform we integrated with so it wasn't a big platform change but a gradual evolution that delivered impact along the way.
What stood out right away? Stigg just worked.
The APIs were well documented and made sense. The UI made testing and debugging fast. And the team? Responsive, thoughtful, and fast to ship improvements. Their solutions were clearly built by people who understood the real-world complexity of pricing and packaging.
“We learned a lot from how Stigg models the monetization domain. The documentation was solid, the APIs were clean, and the platform was clearly built by people who understood real-world complexity.”
Dima Titenko, Engineering Team, Miro
With Stigg as a partner, Miro:
- Introduced a credit-based model purpose-built for AI-driven offerings
- Enabled sophisticated add-on structures supporting both per-seat and flat-fee products
- Automated usage tracking and enforcement with event-based logic
- Integrated real-time usage data directly into analytics systems
- Migrated subscriptions at large scale smoothly and without disruption
“It was a joy working with the Stigg team. Everything we needed was addressed almost instantly. It felt like we were building together.”Dick Wiggers, Frontend Engineer, Miro
And the migration?

It didn’t feel like a massive rewrite.
It felt like plugging in the missing piece of the puzzle.
Highlight: A new monetization model for AI, in record time
When we set out to launch the Innovation Workspace, our AI-powered collaboration platform, we knew our pricing model had to change. This wasn’t just a new feature, it was a monetization challenge.

We needed to:
- Grant tiered, consumption-based entitlements (AI credits) to free and paid users
- Calculate credit allocations based on the number of seats in their plan
- Track usage, enforce limits, and reset each month
- Integrate seamlessly with our existing frontend and backend architecture
- Admins could see their credit usage and limits in real-time
We didn’t build it from scratch. We configured it in Stigg.
"Three months ago, we didn’t even have AI credits. Now we have a fully functioning hybrid seat and usage-based model with enforcement, resets, and visibility across the stack."
Yuliya Malysh, Head of Growth, Miro
What could’ve taken quarters?
We shipped it in < 6 weeks.
A monetization engine built for growth: Faster launches, cleaner data, more focus
Once we launched Innovation Workspace, the shift in velocity was immediate.
We rolled out metered entitlements to millions of users with a click, large migrations did not disrupt any of our existing flows. Changes updated in real time. Engineering no longer had to step in every time packaging changed.
With clean entitlement and usage data coming from Stigg, our analytics teams had the insights they needed to guide smarter product and packaging decisions.
But most importantly?
Our engineers can focus on what’s important to us - evolving Miro.
"Working with Stigg felt like we were accelerating, not replacing. We didn’t lose any control, we gained momentum and flexibility for what was coming next."
Susan van de Ven, Head of Growth Engineering, Miro
Today, Stigg makes our monetization logic visible and flexible, managing everything from products and plans to entitlements, including configurable and metered features.
It enables fast updates to plans and add-ons as we keep delivering new features, and powers internal tooling, analytics, and downstream systems.
And we’re already working on our next evolution: replacing more of our legacy logic with closer pricing and billing integration for even more flexibility.
"The reliability and trust in the partnership is key to any buy vs build decision of a critical system. Dor and the team have made it clear they obsess over customers and tie their success to customers. They were able to co-build with us to meet our needs and work through challenges together as one team - this was a big factor in us continuing to further adopt Stigg into our system."
Jony Jeyaratnam, Head of Engineering Solutions and Growth, Miro
Why Miro chose Stigg
Speed to Market:
"After launching a new plan and it taking months to go live, because of buried assumptions in our codebase, we knew we needed to take a different approach. Moving to an entitlements-based system gave us the flexibility to define new products and experiment with packaging, without engineering overhead."
Build vs. Buy:
"We tried building a packaging system internally at first. Once we saw what Stigg could do out of the box, including things on our roadmap and options we hadn't thought of, it was a no-brainer."
Revenue Impact:
"Stigg helped us launch a differentiated AI product, simplify trials, offer add-ons, and monetize new AI solutions that scale on usage. We are now able to bring our customers more tailored solutions with the flexibility to combine our products to their needs."




