An up-and-comer in the communication app market, Wire, has set some big goals for itself. It wants to rival big players in enterprise-level communications, such as Skype and Slack. Though reviews on Google Play Store witness that they have a severe flaw. Reviewers have criticized the notifications for being late and sometimes not even arriving at all.
Why do we say this?
When we analyze Wire a negative pattern appears. The pattern is forming around the topics “notification”, “update”, and “contacts”. These respective topics all have lower than average grade scores. This isn’t good, as the mention of these topics has a negative effect on the review grade.
Let’s start by looking at the topic that we think Wire should be worrying about the most, “notification”. If we look closer at the topic “notification”, it correlates to an average grade score of 2,88 / 5. Compared to the average topic grade, 3,52 / 5, the grade is lower than Wire should ever accept. Something about the app’s notifications seems very wrong. Because the topic “notification” is also mentioned in 9% of all reviews.
We also want to understand what is wrong about Wire’s notifications, so let’s have look at related topics. When the topics “incoming”, “push” and “receive” are used in combination with the topic “notification”, the correlated score gets even lower. Let’s analyze the implications of the topics. Incoming messages are not showing up as push notifications and that’s why the messages are not being received.
The topics “update” and “contacts” are also lowering the overall grade average. We can probably account that for reviewers not appreciating the updates for “update”. As for “contacts”, if we look at the related topics they seem to suggest that, among other things, it’s hard to search for contacts.
Wire’s success and ability to challenge the big player seems to be impeded by their notifications system, at least if we consider their grade on Play Store. To have a better chance to meet the requirements of enterprise-level messaging service, they need to address this issue.
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The research team at Gavagai performed this analysis using our AI-powered text analysis tool, Gavagai Explorer. All texts analyzed in this article are collected from public online data published on Google Play Store.
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