Supercharge product development with simulated experiments
📈

Make product decisions based on science not hunches

Simulate product experiments to speed up decision making, optimize engineering resources, and make it easier to get buy-in. Blok uses AI to help you better prioritize which product experiments to run live.

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Product experimentation is broken.

It’s slow, doesn’t scale, involves testing live on real users and resources are spent on unproven ideas. Forward-thinking teams are turning to cutting edge AI to rethink how they build for tomorrow.

Develop Conviction In The Problem
Product market fit is an ongoing process rather than a definite stage, focused on retention. And the goal is to develop conviction in the problem before building anything so that you don't waste any time or resources in the wrong areas to begin with.
Rohan
Product Lead
Finding Winning Ideas
We now have over 300 teams running tens of thousands of experiments annually. Experimentation is integral to the way we develop the Spotify experience — but it's a lot more than just running A/B tests to find the winning ideas, and we're looking for ways to test more quickly.
Sebastian
Senior Data Scientist
Validating Before Building
A way to validate, "Am I on the right track," is so important. It's a very common mistake, where it's been six months of just building in a hole, then you get out there and you start validating by trying to sell it. And if you've got some foundational assumptions wrong, you're in trouble
Barry
CEO
Understanding Users Better
Experimentation is what's given us a huge edge over some of our competitors. What your building gives product teams a way to move 10x quicker.
Danielle
Head of Growth
Focusing On The Right Areas
Experimentation is an incredible way to focus your valuable time in the right areas. Many organizations have implemented Agile, allowing them to deliver to market faster than ever before. This is all a waste of time if the delivered features don’t add value.
Evie
ex-Group Product Manager
Develop Conviction In The Problem
Product market fit is an ongoing process rather than a definite stage, focused on retention. And the goal is to develop conviction in the problem before building anything so that you don't waste any time or resources in the wrong areas to begin with.
Rohan
Product Lead
Finding Winning Ideas
We now have over 300 teams running tens of thousands of experiments annually. Experimentation is integral to the way we develop the Spotify experience — but it's a lot more than just running A/B tests to find the winning ideas, and we're looking for ways to test more quickly.
Sebastian
Senior Data Scientist
Validating Before Building
A way to validate, "Am I on the right track," is so important. It's a very common mistake, where it's been six months of just building in a hole, then you get out there and you start validating by trying to sell it. And if you've got some foundational assumptions wrong, you're in trouble
Barry
CEO
Understanding Users Better
The number of problems and unanswered questions that you have about your current and future users needs and behaviours just increases every single day. To truly understand them better, to really improve your product, you really need to make experimentation integral.
Danielle
Head of Growth
Focusing On The Right Areas
Experimentation is an incredible way to focus your valuable time in the right areas. Many organizations have implemented Agile, allowing them to deliver to market faster than ever before. This is all a waste of time if the delivered features don’t add value.
Evie
ex-Group Product Manager

Why you'll love Blok

We help you streamline product decisions and learn before you start building.

Spend less time debating
Ditch gut decisions and opinion-based RICE frameworks. Make it easier to get team buy-in with supporting evidence.
Validate before testing live
Don’t wait weeks to decide if an experiment is a good idea. Respond to predictions and recommendations.
Build what matters most
Instead of brute-force trial and error, better prioritize engineering requests by simulating product tests first.
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Build synthetic profiles
👤

Better understand your users

Uncover insights hidden within your product data and develop rich user profiles.

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Test assuptions before you build
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Simulate product experiments

Test your assumptions against synthetic users to predict how your real users will react to a product change.

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Start taking your product time back

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