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Explore Eppo experimentation platform to support AB testing at Reverb
What do you like best about the product?
Dedicated customer support team, responsive team, always be customer oriented and address customer needs.
What do you dislike about the product?
immature software development tool, reliable engineering support.
What problems is the product solving and how is that benefiting you?
A reliable experimentation platform which provides feature flagging and data analysis pipeline, which help streamline experimentation analysis and decision making with clear visualization and easy set-up.
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Overall good experience, easy to use, standardized way to analyze experiment
What do you like best about the product?
Easy to add metrics and experiment.
Centralized management.
Support CUPED.
Centralized management.
Support CUPED.
What do you dislike about the product?
Some functions not available.
For example, not able to compare between variants (can only compare variant with control).
Not able to run difference in difference.
For example, not able to compare between variants (can only compare variant with control).
Not able to run difference in difference.
What problems is the product solving and how is that benefiting you?
Generate result for a/b testing that support the decision of product feature launch.
It save DS time to create a report for each individual experiment. Also the platform make sure the analysis for each experiment is in a standardized centralized way.
It save DS time to create a report for each individual experiment. Also the platform make sure the analysis for each experiment is in a standardized centralized way.
Eppo has streamlined our AB testing lifecycle
What do you like best about the product?
Eppo has the ability to act as both as a data visualization of our test results but also as a record of truth of historical wins and losses
What do you dislike about the product?
Being able to only update results once a day, though that might be more of a limitation on our company's database's end
What problems is the product solving and how is that benefiting you?
Eppo is helping us keep track of all of our experiments, visualize the impact on multiple segments of users, and giving us a report that we can use to communicate results with stakeholders.
Eppo has accelerated our Experiment Evaluations and Improved Analyst Productivity!
What do you like best about the product?
We use Eppo at Delivery Hero for warehouse-native expriment evalutions (in tandem with our own feature flag management tool and sdk). With some analytics engineering investment in setting up a reliable metrics catalog, we have been able to dramatically reduce the overhead in experiment evaluations for our large product organization. Eppo offers an intuitive experiment setup and summary experience that has saved Product Analysts a lot of time and mundane overhead. An additional benefit is that it comes with all the latest statistical evaluations (and corrections, e.g. - when the randomisation and evaluation units do not match in an experiment) that allow us to move past fixed-horizon testing when it makes sense.
In addition, the team, starting right with the leadership, have a strong customer success mindset and are highly responsive on slack to all operational concerns.
In addition, the team, starting right with the leadership, have a strong customer success mindset and are highly responsive on slack to all operational concerns.
What do you dislike about the product?
I don't have a whole lot to complain about, given we were very clear with what we looked Eppo to solve. So there has been no misaligned expectations.
What problems is the product solving and how is that benefiting you?
Warehouse-native out-of-the-box experiment evaluations
Sequential Testing that allows to conclude experiments sooner
Level-1 experiment breakdowns (assessing experiment results by user segments, country etc.)
SRM alerts
Sequential Testing that allows to conclude experiments sooner
Level-1 experiment breakdowns (assessing experiment results by user segments, country etc.)
SRM alerts
Eppo helped us speed up the experimentation process
What do you like best about the product?
I like the most that Eppo handles all of the calculations around the facts, so this makes the experimentation process available for all the company. And also brings consistency in the way metrics are computed
What do you dislike about the product?
There are a lot of definitions to implement in our warehouse, so i would expect to have cleaer guidelines for scaling the projects: good practices about table materialization, duplication of models (facts-entry points), naming conventions, etc.
Also best practices to integrate feature flags with the experiments, as usually feature flags are implemented by different teams that the ones actually following up on the experiments
Also best practices to integrate feature flags with the experiments, as usually feature flags are implemented by different teams that the ones actually following up on the experiments
What problems is the product solving and how is that benefiting you?
Is helping to unify the experimentation process along different teams of the company. It's easier for us to run experimentation company-wise because of the adoption of this tool.
Very easy to use and powerful experimentation platform
What do you like best about the product?
Eppo simplifies the entire experimentation process. The platform is straightforward to set up, and I'm particularly fond of its direct integration with our data warehouse. The Eppo support team is consistently prompt in addressing any inquiries and incorporating suggested features into their roadmap. Ultimately, it has significantly reduced the incremental costs associated with conducting experiments for our team.
What do you dislike about the product?
To save on query costs results only update once per day and when you add a new metric then you either need to wait or run a custom refresh which adds some friction to the process when trying to test whether the setup is correct. There have also been a few ui bugs but these were resolved quickly by the Eppo support team.
What problems is the product solving and how is that benefiting you?
Eppo lets us quickly set up and run experiments right from our data warehouse. This helps analysts save time, as they can rapidly calculate sample sizes and track important metrics. It also shifts the business focus towards speed. The platform is really easy to use and has boosted our ability to experiment on a bigger scale.
Efficient and User-Friendly: Eppo Streamlines Experimentation
What do you like best about the product?
Eppo is remarkably easy to use and quick to set up. Eppo has an intuitive interface which makes experimentation measurement a breeze, and the team are very responsive and accommodating, incorporating user feedback into their Product Roadmap. Their commitment to continuous improvement and frequent updates ensures a cutting-edge experience.
What do you dislike about the product?
While Eppo excels in many aspects, a recent concern has been a slight increase in our Data Warehouse costs. Pinpointing the source of this increase has been a bit challenging, but the Eppo support as always on hand to help answer questions.
What problems is the product solving and how is that benefiting you?
Streamlined Setup and Intuitive Use: Eppo simplifies the analyses of experiments, reducing the feedback time for experiments. Its intuitive interface empowers users to design and execute experiments, and also use advanced analytics methods, without a steep learning curve, enhancing efficiency and productivity.
Accelerated learning cycles
What do you like best about the product?
Eppo provides us with robust statistical analysis of A/B tests using modern methods that allow us to learn as fast as possible given the the effect size. It was easy to integrate. We were up and going in about 3 days
What do you dislike about the product?
Because it's warehouse native, it makes assumptions about the underlying data models in your warehouse. If they don't match those assumptions, then you need to do work to make everything play nicely together. Fortunately, they are reasonable assumptions and not hard to match if you don't already.
What problems is the product solving and how is that benefiting you?
Eppo is solving the problem of experiment analysis. It is the core statistical engine on which we build our data driven decisons for product and operations. It specifically addresses bottleneck in the process that occurs from the time data starts being collected to when it can be analyzed and used. It also standardizes analysis across the company so we can focus the discussion on the results rather than the methods.
Great experience monitoring experiments through EPPO
What do you like best about the product?
Simple interface for seeing all the statistics regarding an experiment in one place. Easy to implement metrics.
What do you dislike about the product?
Would like to have logging of experimental statistics on a daily level for many use-cases along with a overall statistical data
What problems is the product solving and how is that benefiting you?
Helps to monitor A/B experiments on various models
Eppo has revolutionized our business
What do you like best about the product?
It's great to have the daily reporting as a result of Eppo - it has led to finding problems faster and getting more buy-in from stakeholders. The advanced analytics is also critical to making better decisions across our business.
What do you dislike about the product?
The updates are only daily, rather than real-time, given computing cost constraints, which limits some of the value. Also the fact that CUPED analysis isn't available (due to compute costs) on the explore graphs means that we sometimes present inconsistent data. Finally, three-way experiments could be better visualized (a vs. b vs. c, rather than a vs. b and a vs. c).
What problems is the product solving and how is that benefiting you?
Eppo gives great visibility into our experiments and has led us to make faster decisions. It's also helped gain adoption for experimentation by easing the analytics burden and showing stakeholders of the value.
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