Analytics & product teams rely on Objectiv to automatically surface actionable insights. They no longer need to constantly dig through ever-growing and increasingly complex datasets to find what matters most to their product goals.
But sometimes you want to take the helm yourself. Run your own analyses, and get full grip on the underlying data.
In the latest release of the Objectiv Workspace, we are now fully opening up what powers our data models: exposing the Signals that are evidence of exceptional user behavior, offering easy-to-use Filters to drill down on all data, and providing raw data Exports for custom analyses in your own infrastructure.
Dig into the Signals powering Objectiv’s data models
Signals are the foundation of Objectiv insights. They are pieces of evidence that identify the exceptional user behavior that actually drives your goals, taking into account full contextual data about each of your product’s features. Signals are used to identify potentially impactful features and larger areas of opportunity. Example of such Signals:
- ‘Impact Score’: a measure of how much more it was used by successful vs unsuccessful users on your product goal.
- Seasonality: The extent to which the feature performance is seasonal.
- CTR: how often it’s clicked on its location.
With this new release, we’re now fully exposing Signals for each feature in your product. In the Workspace, click on a feature to open up a redesigned Feature Details panel, which contains both the full context of a feature (e.g. its name and location), and a bird’s-eye view of all relevant Signals with their strength towards your goal. Every Signal can be expanded to get more detail and background.
Drill-down using Filters
We’re also releasing tools to run your own analyses directly from the Workspace, using Filters: select features with certain properties or Signals. Examples of drill-down analyses:
- Newly launched and can benefit from better visibility in the journey:
New; medium to very high Impact; high Reachability, but low Usage.
- High potential for improvement:
High Impact, but low Reachability.
- High-performing groups that can serve as inspiration for others:
High Impact, same feature group, high Usage.
- Features that require your attention:
High Negative Impact, High Usage.
..and so on
Next to the Filtering tools in the Explorer, we also show the Filters that power an Objectiv Topic: a focus area of features that matter most. For further exploration of a Topic, choose to drill-down in the Explorer.
Perform custom analyses on raw data from Exports
Sometimes Signals and Filters are not enough, and you want to explore all the details using your own tools, for instance for your own analyses, or to understand the inner workings. Objectiv’s models are fully transparent by design – no black box AI – and with this release we enable you to take full control of your data by downloading an export directly from the Workspace.
The export contains all historical development data in CSV format for one or more Goals of all your product features, their properties, and their Signals. Of course documentation is included for seamless interpretation.
Available now to all (Enterprise) customers
This release of our Workspace is rolling out now to all customers, with some features limited to our Enterprise plan.
As always, we’d love to hear what you think.