The story page is made up of three main parts: 1) story content, 2) what to read next, 3) navigation bar.
This is the starting point of the data discovery experience. The headline explains the metric and the time frame the story is about. The body of the story points out relevant observations and analytics, including things like historical comparisons, drivers of change, important dimensional comparisons, and more. Some stories also have a KPI box to call out the value of the main metric and put it into context.
What to Read Next
On the right-hand side, Lexio serves up related stories. These are carefully selected follow-ups that build on the observations made in the main story. These stories are made up of additional analysis, related metrics, significant dimensions, alternative time frames.
Clicking more will reveal a short preview and a visual.
Clicking explore will open the full story and add it to your navigation bar, alongside the previous story. From this full story, you will have additional follow-ups to read next.
Click to learn how Lexio serves up stories for what to read next.
The navigation bar has a couple of important features:
Story Tabs keep track of your data discovery path. Every time you explore a new story, it is added as a new tab. Tabs allow you to easily navigate back to previously viewed stories and also close out stories that are no longer relevant.
Bookmarking allows users to save off the most relevant stories for easy access from the Library.
Sharing stories allows for easy collaboration with your team. Sharing will send an email notification to the recipient all also make the story appear in their Library.
Additionally, various adjustments can be made to the main story:
Time Frames are adjustable allowing you to view different granularities (e.g. day, week, month, quarter, year). You can also choose This to read up on the current time period to-date, or Last to get a full recap of the most recent full period.
Filters allow you to narrow the scope of the story to specific dimension values. When a filter is added, the narrative automatically adjusts. Filters are noted in the headline to make the context of the story clear.
Story Type is one of either Track, Breakdown, or Compare. Each story type has unique analytics and content. This is also the place to adjust parameters to be used in the analysis (e.g. which dimension to use).
Metric can also be adjusted to write an entirely different story.
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