HeadSpin is a Digital Experience AI Platform that combines a global device infrastructure, test automation, and ML-driven performance and quality of experience analytics. HeadSpin is designed to empower engineering, QA, operations, and product teams to assure optimal digital experiences across all delivery channels throughout the development lifecycle.
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Receptive.io (discontinued)
Score8 out of 10
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Pendo Feedback (or Receptive / Receptive.io, acquired by Pendo in 2019) was a SaaS product demand intelligence platform used to collect product feedback and feature requests from customers as well as internal teams. Some years after the acquisition, the product was discontinued.
We have been using HeadSpin for our web and mobile application testing. It is an easy-to-use solution that provides detailed and in-depth analytics from the testing results. We also get a wide range of live networks and devices to perform the testing from HeadSpin. It has an inbuilt artificial intelligence engine that helps us to get real-time scenarios simulated, which is very helpful for finding performance issues and improving the overall quality of the applications.
Receptive is very effective for multiple internal teams/department of a single product who need to scale their product feedback management effectively. We've been leveraging it for one of our products and it was so successful, that we implemented it with a second product. The main issue we ran into situationally with that was managing 2+ modules (products) in Receptive; it was a bit more difficult to present Receptive to two different customer bases/users (we couldn't change the appearance) and slightly confusing to do within the app (lots of filtering needed). I have heard that support of multiple modules is something that Receptive will likely be working on in the near future, so that's good news.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Though LambdaTest was cheaper, it did not offer the deal devices and we wanted to be 100% sure that our app offers a perfect experience to all users. Simulators and emulators are not the technology we wanted to rely on.
We had UserVoice prior to Receptive but it was just too clunky and extensive for our needs. It was less about automation and still very manual work to process feedback. It also didn't provide collaboration levels that we needed for our internal teams to work together. ProdPad was a very clean tool but also didn't enable us to automate the process like Receptive does.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Simplified the approach to test the mobile application on multiple devices from different vendors. This helped us to ensure the stability of the application in different environments.
In-depth analysis to understand the loopholes in the application design function. This helped us to improve the application design and overall user experience.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We were managing these enhancements in our support ticketing system, using spreadsheets, and it was TERRIBLE. Being able to tell a user "Great idea! Submit it to Feedback!" has saved my support team hundreds of hours.
We have reduced incoming support requests when the request is really an enhancement - the ability to have a "Suggest Features" widget in our software sends users straight to Feedback.
Because we can make some fields required, we can cut down on the need to reach back out to our users for clarification.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
