Track the levels of drop-off at each step across a specific subset of features
Usage data tends to be more reliable than user surveys and product testing alone.
Product analytics is a category of business intelligence software that captures and exposes usage patterns from digital products like web and mobile applications via event tracking
event properties, and event and property grouping
The way the data is grouped and queried plays a major role
useful product analytics
Graph engagement with certain features
compare against other parts of the product over time
compare engagement with a single part of the product over two different time periods.
all the product journeys users take
leading up to or following a specific interaction,
how common or uncommon the next step being taken is.
paths include all possible upstream or downstream interaction scenarios.
The data that comes from tracking in-app events helps product teams learn what parts of the product are being used, how often, and by whom, as well as the product experience paths that lead to the outcomes that matter most.
observe a challenge or opportunity, develop a plan, deploy the change, measure outcomes, and iterate with minimal latency or dependencies.
product analytics is the key to building a product roadmap and driving innovation and continuous improvement.
The shift toward meaningful insights is particularly relevant in multi-app portfolios
where tracking and correlating a variety of product data dictate the design, functionality, and experiments that drive product strategy and growth.
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