Latest Essays

Author:
Oleg Ya
Why objective vs. perceived product value matters for activation
Why objective vs. perceived product value matters for activation

In our previous articles, we showed how people change the way they get a job done after finding a new product whose benefits outweigh the cost of switching.

But it’s not enough just to make a product that does the job significantly better. People make decisions based not on a product’s objective value, but its subjective perceived value—how that particular person happens to feel about the product.

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Author:
Oleg Ya
The valuation of Wish has dropped from $22 billion to just $0.45 billion

The valuation of Wish has dropped from $22 billion to just $0.45 billion. A staggering 50x decrease in less than two years. This case illustrates the importance of defensibility — the ability to maintain a competitive advantage.

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Author:
Oleg Ya
Value windows: finding when users are ready to benefit from your product
Value windows: finding when users are ready to benefit from your product

You’ve built a product and found a user segment for which you have product/market fit. If users from this segment learn about your product and experience its value for themselves, they will choose it for getting the job done.

This is when you start planning how to get the word out to potential users about your product’s value. But what happens if you simply say that you have some new way of solving their problem? Odds are that their behavior won’t change.

Generally speaking, people want to go with the flow and are reluctant to try new things.

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Author:
Oleg Ya
Why does Netflix release all episodes of a season at once, while most other streaming providers release episodes on a weekly basis?

Why does Netflix release all episodes of a season at once, while most other streaming providers release episodes on a weekly basis?

I don’t have any data, but here are my thoughts on the pros and cons.

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Author:
Editorial
Using data for strategic decisions
Using data for strategic decisions

Data drives product management. Product managers rely on data for everything from creating an easy buying experience to determining if a product should even be developed. And while data is used to inform all aspects of managing a product, are there different considerations for using data for long-term strategy vs. daily decisions? 

It turns out that the answer is yes. While there are many similarities, like needing to ensure success is clearly defined, for strategic decisions more context, expertise, and qualitative data is required. Data used for strategic decisions tends to be higher quality, take longer to collect, and be more expensive than data used for everyday decisions. Data mistakes, such as bias or incorrect benchmarking, are also more costly to the organization when they happen in the context of creating a strategy.

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Author:
Oleg Ya
How to design and run JTBD research interviews: guide and templates
How to design and run JTBD research interviews: guide and templates

For a thoughtful approach to product growth and development, it’s critical to know the tasks and contexts that create the jobs-to-be-done (JTBDs) handled by your product.

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Author:
Oleg Ya
Be realistic about the reasons users choose your solution

As a product manager, it’s easy to fall into the trap of thinking that your product is an important part of your user’s life or that you have a loyal customer base.

But that’s not always the case.

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Author:
Oleg Ya
Can you persuade one user to switch to your product?

Can you persuade one user to switch to your product?

That’s where your growth foundation is.

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Author:
Editorial
Highlights of 2022: the best things to recall
Highlights of 2022: the best things to recall

As 2022 comes to a close, we would like to share some key milestones that our team achieved this year.

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Author:
Oleg Ya
“That’s a novelty effect. After users figure it out, the metrics will grow again”

Imagine you have just rolled out a new feature after long weeks of development. Or maybe a whole product redesign.

But right after that, you notice the metrics going down. What would you do?

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