RELATED IDEAS
Integrate analytics to features for success criteria tracking
We utilize Splunk to track client utilization of features. We track the impact of releases on DAU, MAU, and specific features - i.e. did this enhancement increase the utilization fo feature X. Would be great to have the feedback loop to development - also for experimentation (release 2 versions of a feature - see which has the better impact).
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ADMIN RESPONSEJan 14, 2016
We agree that this level of integration would be valuable to capture and be able to track in full circle.
We plan to mark as likely to implement for tracking purposes, but note that it will likely be much further out on the roadmap.
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MERGED
Integrate usage analytics within Aha! to validate success of a new feature or release
Concept: Leverage software usage analytics to view installed software product statistics within Aha's roadmap planning software.
Benefits:
- Validate success of a new feature from actual usage data
- Optimize resources based on actual feedback
- I...
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Future consideration
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MERGED
Integration with Product Analytics platform to keep track of feature usage post release
With this type of integration we can track the feature that we ideate, research, focus, plan and launch post release and drive real value to show how those features are being used and by who. We can also track how successful those feature were in ...
0
Future consideration
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Any movement on this idea? We are trying to arm our PM's with all the data and insights they need to prioritize the right features to work on and these integrations would go a long way to consolidate the tools they need to use.
An added thought to this Idea...
Adding integrations for multiple Analytics tools such Google, New Relic, Heap etc. could provide easier insight for PM's on their Products and Releases. I envision this to be similar to the Salesforce/Ideas portal integration but in reverse. Instead of a window in the other application, there's an embedded window from the tracking tools or saved report into Aha!. By adding more stickiness to Aha! a PM would not have to leave the tool to get a quick view of their key metrics.
Additionally, if this integration was structured in a way where the Analytics data comes into an Aha! custom data field, Reports and Notebooks could be used for leadership and other stakeholder insights.
From a qualitative data perspective, this metric integration could be expanded to include survey data from Survey Monkey, Qualtrics and others for even more greater reporting within Aha!.