Concept: Trends, Gaps, Top Drivers, and Detailed Data
You can click
View More
on a KPI or story card to view a metric as it
changed over time, underlying drivers, and additional details about it.Trends and Gaps
A trend in People Analytics demonstrates how a metric changed over time. The amount of data
history you have in People Analytics determines the number of months used for comparison in
the trend. Example: Reviewing performance in Canada over the period of 12 months.
Trend stories compare the current performance trend to the performance trend at the beginning
of the historical period.
Gap stories compare the current performance trend with the performance of an internal
peer group. Example: Comparing current performance in Canada to the current
performance of the Americas.
Top Drivers
The storyteller engine surfaces top
drivers of a metric by slicing the metric by different dimensions. Examples: Ethnicity,
generation, location, or management level.
- Contributing to the performance gap in the story.
- Driving the story in the opposite direction.
Tables underneath the dimensions display personalized insights for each top
driver, using conversational language to convey key information. Example: Female
Representation in this
Tenure Category
is 64.3%
— which is 18.7
percentage points above Cost Center 1
. Top drivers display by the severity of their
impact on the story: from High to Low. The change in metric, population
size, and historic trend (for trend business questions) determine the impact level.
High
impact labels indicate areas of the organization where there might be an
immediate need for focus.Decision makers can focus on a few of the biggest drivers to
improve performance of the metric as that can even influence other, not so impactful
drivers.
Example: In the last 12 months, female representation in your
organization’s level 4 has increased by 18.8 percentage points.
Which
drivers are contributing to higher Female Diversity Trend in Org Level 4?
Top drivers (Dimension: Value) | Impact level (High, Medium, Low) |
|---|---|
Ethnicity: Hispanic | High impact |
Location: Atlanta | Medium |
Management level: 9 manager | Low |
Location: New York City Campus | Low |
Each top driver tab includes detailed information on the
metric composition.
Which areas scored lower for Female Diversity Trend
in Org Level 4?
Top drivers (Dimension: Value) | Impact level (High, Medium, Low) |
|---|---|
Location: New York | Medium |
Job Level: Team Players 2 | Low |
Each top driver tab includes detailed information on the metric
composition.
Detailed Data
The
Detailed Data
tab is designed to be a preview and
displays the first 100 rows of data with the possibility of restricting the list to an
individual month. You can export the data to a discovery board to view all rows of data and
perform further analysis.