LaunchDarkly
LaunchDarklyExternal reviews
677 reviews
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Great Product Analytics Tool
What do you like best about the product?
Constant support in understanding business use case and replicating the same in their tool.
What do you dislike about the product?
Nothing as such; Introducing behaviour segmentation will be a big help in understanding users and product journeys better.
What problems is the product solving and how is that benefiting you?
1st level implementation checks; helps in getting preliminary adoption/behaviour associated with any new feature or launch
Game-Changer for Product Analytics
What do you like best about the product?
Base on my experience with using houseware, the following are some key highlights -
Instant Product Insights - Helps uncover valuable product insights in an instant.
Regular updates to enhance the functionality and user experience
The team is very responsive to any feedback that is shared with them
Instant Product Insights - Helps uncover valuable product insights in an instant.
Regular updates to enhance the functionality and user experience
The team is very responsive to any feedback that is shared with them
What do you dislike about the product?
Using the tool might involve a learning curve for some users.
What problems is the product solving and how is that benefiting you?
Enables users outside the analytics team to derive product insights from data. This frees up my bandwidth and allows me to focus on more high value tasks/projects.
Houseware is a great tool for Fintech companies
What do you like best about the product?
Data ownership lies with us vs sending it out to a third party. Houseware acts as a layer over snowflake so that no data is sent outside our machines.
What do you dislike about the product?
Currently, there's no support for DB/ Entity data.
What problems is the product solving and how is that benefiting you?
Data privacy and security.
Useful and effective service
What do you like best about the product?
In the past, we have implemented featurization services internally. While it is simple as a concept, it is challenging to have consistency across products. Using LaunchDarkly for featurization across the product portfolio provided us that consistency.
LD APIs are extremely effective, and reflect flag changes instantly.
LD APIs are extremely effective, and reflect flag changes instantly.
What do you dislike about the product?
We have many developers testing LD features, so the cap on the number of users in the admin console is always an issue.
What problems is the product solving and how is that benefiting you?
Allows us to turn on and off product features with ease, consistency and speed. It has also opened up the possibility of early product access to select customers.
Great tool for analysing data.
What do you like best about the product?
Houseware has great data visualisation dashboards.
It's fast and intutive to get started.
Workspaces are a great way to ogranise your teams and projects.
Saves a lot of time.
It's fast and intutive to get started.
Workspaces are a great way to ogranise your teams and projects.
Saves a lot of time.
What do you dislike about the product?
Events are not categorised. It would be great if events had meta data.
Needs better workspace organisation.
Needs better workspace organisation.
What problems is the product solving and how is that benefiting you?
Data visualisation, Analysing funnels, A/B testing.
Flexible and easy to integrate
What do you like best about the product?
The integration process is smooth, and the tool offers variaty of methods by which you can enable or disable some logic that can be simple or very complicated sometimes.
What do you dislike about the product?
The interface has room for improvement, those who haven't used such tool before yet understand its concept, find it a bit difficult to navigate through sometimes. Hints and small help popups might help.
What problems is the product solving and how is that benefiting you?
Releasing new features safly to production and restricting access to it to a subset of users before having the confidence to go full live.
review from a full stack architect
What do you like best about the product?
It works great. Never had any downtime noticed, which is exceptional. You can also tie it to users. It also works on backend and frontend
What do you dislike about the product?
Pricing could be cheaper. The number of projects in the basic plan is limited to 2.
What problems is the product solving and how is that benefiting you?
releasing features without fear in continuous delivery
Great tool for data visualization
What do you like best about the product?
Super easy to create funnels, visualize them in various formats and look at different cuts of data. Highly helpful, and responsive team to help us!
What do you dislike about the product?
Not much to dislike. Adding new events could be more self serve
What problems is the product solving and how is that benefiting you?
- Data analysis
- Data visualization
- Data visualization
A super intuitive and useful tool for understanding users
What do you like best about the product?
Quick, intuitive and easy-to-use. Great support team.
What do you dislike about the product?
Certain flows are hard to figure out and need some setup effort from the internal data teams.
What problems is the product solving and how is that benefiting you?
Houseware gives quick and sharp insights on ongoing A/B tests, funnels for different types of users, feature usage and more.
Exactly as advertised
What do you like best about the product?
You get your features in to prod behind a reliable system that makes it easy to show and hide them from all the right users.
What do you dislike about the product?
The one painful thing is the clean up. They do what they can to help, but if you aren't careful and you are moving fast you end up with a lot of baggage in your code. Features you don't need flagged anymore are still only shown to users because Launch Darkly says it ok.
What problems is the product solving and how is that benefiting you?
It's making it easy to put features in prod for a limited user base and prove they work well before releasing them to a larger audience.
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