10X: Epic Analytics

About this report

The Epic Analytics report displays the Strategic Value Score of epics within a selected PI, along with the associated risk level. This report is in the form of scatter plot chart. The Strategic Value Score, 1 -100, is plotted on the Y axis, and the risk level, 1-10, is plotted along the X axis.

Epics are assigned a Strategic Value Score at time of creation that represents the relative value of an epic compared to others on a scale of 1-100; this information supports ranking and prioritization. 

The Certainty value assigned to an epic is used to determine how much is known about an epic and how it will be built in relation to other epics; Certainty has three categories: High (the plan is known), Medium, and Low (many unknowns).

A Complexity value is also placed on epics. The Complexity value is used to determine how complex an epic is in relation to other epics; Complexity has three categories: High (very complex), Medium, and Low.

The plots are also color coded to indicate the state of each epic: Not Started, In Progress, and Accepted. You can also hover over a plot so see a quick summary of the data values.

Navigation

  1. Select the Reports icon from the left Navigation menu.
  2. Start typing the report's name in the Search box. 
  3. Once found, select the report.

Note: You can also use the categories on the left to search for the needed reports.

Prerequisites

  1. PI must exist in the system and be tied to a program.
  2. Epics must be created and tied to a primary program and theme.
  3. Strategic Value Scores, State, Complexity, and Certainty values must be entered for each epic. 

How are report values calculated? 

  • Strategic Value Scores, State, Complexity, and Certainty values for each plot are pulled from the Epics page/panel.
  • Risk Level = Complexity x Certainty (Complexity values are High = 3, Medium = 2, and Low = 1; Certainty values are High = 1, Medium = 2, and Low = 3)

Epic_Analytics.png

How to interpret this report

Examine the plots to learn if one variable is affected by another, which is called the correlation. For example, are the higher-value epics more risky? Are the lower-value epics less risky? Use your findings to help rank and prioritize the epics; high-value epics with low risk levels should be ranked very high, whereas low-value epics with high risk levels should be ranked near the bottom.

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