person sitting on grass and using phone

Büşra's Brain Dump

Connecting Strategy and Execution:
Data & Evidence Informed Decision Making for Creating More Visible Impact

Stay up to date with my latest content.
person sitting on grass and using phone

Büşra's Brain Dump

Connecting Strategy and Execution:
Data & Evidence Informed Decision Making for Creating More Visible Impact

Stay up to date with my latest content.

The Makers Manifesto is here. Here's why I have contributed to it.

The Makers Manifesto is here. Here's why I have contributed to it.

The Makers Manifesto is here. Here's why I have contributed to it.

We decided to NOT be silent and take a stand. And you can join us. When you watch things shift around you, you have opinions, but tell yourself you shouldn't make a big declaration, someone more senior, more visible, with more leverage should do it, it turns out to be the wrong decision. Because this is exactly how fundamentals get eroded. Let's do something about it.

Stop thinking about the engineers, turn all employees into contributors

Stop thinking about the engineers, turn all employees into contributors

Stop thinking about the engineers, turn all employees into contributors

AI adoption at Doist. Ten years ago, Amir Salihefendic, Doist's CEO and founder, wrote a piece about what he saw as the foundational pillars of this remote company's future, AI being one. Then ChatGPT and other LLMs arrived, Doist finally got the technology to match a mindset they'd had for years.

A B2B discovery case study about fixing your experiment: testing a feature for encoway's new P2M product

A B2B discovery case study about fixing your experiment: testing a feature for encoway's new P2M product

A B2B discovery case study about fixing your experiment: testing a feature for encoway's new P2M product

This case study about my coachee at one B2B client encoway is about how a "successful" experiment can still validate nothing, because the hypothesis was measuring the wrong signal for how B2B buying actually works. It is supposed to give you an idea of the real, messy world of discovery, an example of how to analyse your own hypotheses and tests, and an inspiration of how to connect frameworks to come up with assumptions and experiments (yes, Impact Mapping is part of it).

You don't have to become AI-native

You don't have to become AI-native

You don't have to become AI-native

AI adoption at Sana. In this episode, Dimitra Retsina shares details about how she took the 20y old organisation with a big legacy through 5 stages of AI adoption: Fear, Push, Pull, Run, Hold. You'll notice: It's a playbook!

Turning messy user feedback into something you can actually use

Turning messy user feedback into something you can actually use

Turning messy user feedback into something you can actually use

A newsletter readers asked me: "Another challenge I see is to transfer qualitative feedback into metrics, e.g. we get a lot of different user feedback from customer service, interviews, etc., and they all sound kind of different. What do I do with it?" Here is my answer.

Permission to try: How Instaffo let AI grow from the bottom up

Permission to try: How Instaffo let AI grow from the bottom up

Permission to try: How Instaffo let AI grow from the bottom up

AI adoption at Instaffo. In this episode, Jan Werner shares how AI found his way organically into the company, and how the combination of trust from leadership and a motivated team can make change happen.

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