Frans Ekman
@fransekman.bsky.social
🔍 Diving into product analytics & sharing insights.
Co-Founder & CTO PropsPoints.com/home-en
Founder of CustomerDashboard.io
💸 Investor, 👨💻 hacker, 📝 blogger
Co-Founder & CTO PropsPoints.com/home-en
Founder of CustomerDashboard.io
💸 Investor, 👨💻 hacker, 📝 blogger
The full case study of how Props app used SelkoDialog AI user interview agent to uncover the truth behind churn:
www.selkodialog.com/blog/case-St...
www.selkodialog.com/blog/case-St...
Case Study: How Props Used SelkoDialog to Uncover Hidden Insights from Churned Users
Case study of Props rewards app using SelkoDialog AI interview agent to uncover valuable insights from churned users
www.selkodialog.com
August 8, 2025 at 10:18 AM
The full case study of how Props app used SelkoDialog AI user interview agent to uncover the truth behind churn:
www.selkodialog.com/blog/case-St...
www.selkodialog.com/blog/case-St...
Yeah, I cannot imaging how a non-developer could ever build and maintain a real production app with vibe coding
April 4, 2025 at 6:52 PM
Yeah, I cannot imaging how a non-developer could ever build and maintain a real production app with vibe coding
5/ Then use this metric when doing a feature audit. 🔎
Investigate why features are not used. Is it lack of awareness or poor understanding? Can this be improved? Or is the feature not useful at all?
Consider removing unused features, especially when they are not really useful for the users.
Investigate why features are not used. Is it lack of awareness or poor understanding? Can this be improved? Or is the feature not useful at all?
Consider removing unused features, especially when they are not really useful for the users.
March 5, 2025 at 10:21 AM
5/ Then use this metric when doing a feature audit. 🔎
Investigate why features are not used. Is it lack of awareness or poor understanding? Can this be improved? Or is the feature not useful at all?
Consider removing unused features, especially when they are not really useful for the users.
Investigate why features are not used. Is it lack of awareness or poor understanding? Can this be improved? Or is the feature not useful at all?
Consider removing unused features, especially when they are not really useful for the users.
4/
3️⃣ Sometimes usage of a feature is only meaningful if the feature is used multiple times.
💡 You need to define your metric so that it is meaningful for your product.
3️⃣ Sometimes usage of a feature is only meaningful if the feature is used multiple times.
💡 You need to define your metric so that it is meaningful for your product.
March 5, 2025 at 10:21 AM
4/
3️⃣ Sometimes usage of a feature is only meaningful if the feature is used multiple times.
💡 You need to define your metric so that it is meaningful for your product.
3️⃣ Sometimes usage of a feature is only meaningful if the feature is used multiple times.
💡 You need to define your metric so that it is meaningful for your product.
3/
2️⃣ Some divide by only active users, which may be more meaningful when your product has changed a lot and you have lots of old churned users. Sometimes it is convenient to measure this only for users who logged in within the measurement time interval.
2️⃣ Some divide by only active users, which may be more meaningful when your product has changed a lot and you have lots of old churned users. Sometimes it is convenient to measure this only for users who logged in within the measurement time interval.
March 5, 2025 at 10:21 AM
3/
2️⃣ Some divide by only active users, which may be more meaningful when your product has changed a lot and you have lots of old churned users. Sometimes it is convenient to measure this only for users who logged in within the measurement time interval.
2️⃣ Some divide by only active users, which may be more meaningful when your product has changed a lot and you have lots of old churned users. Sometimes it is convenient to measure this only for users who logged in within the measurement time interval.
2/ There are some variants of this metric.
For example:
1️⃣ Some calculate this for an eternal time interval, in which case the metric is more about users discovering the feature
For example:
1️⃣ Some calculate this for an eternal time interval, in which case the metric is more about users discovering the feature
March 5, 2025 at 10:21 AM
2/ There are some variants of this metric.
For example:
1️⃣ Some calculate this for an eternal time interval, in which case the metric is more about users discovering the feature
For example:
1️⃣ Some calculate this for an eternal time interval, in which case the metric is more about users discovering the feature
So we face competition on both ends and get squeezed in the middle. Or do we?
How should we adapt? Where do you think the best opportunities are?
How should we adapt? Where do you think the best opportunities are?
February 11, 2025 at 9:01 PM
So we face competition on both ends and get squeezed in the middle. Or do we?
How should we adapt? Where do you think the best opportunities are?
How should we adapt? Where do you think the best opportunities are?