The following is a selection of some commonly used analysis and analytics techniques applicable to the Interpret and Report Results domain. The following list of techniques does not represent a comprehensive set of techniques used by an analyst in the Interpreting and Reporting Results domain but presents a small, but useful, set of techniques that can be used.

Techniques	Usage Context for Business Data Analytics	BABOK® Guide v3.0 Reference
Interviews	Used to understand specific needs and expectations from stakeholders with respect to visualizations and communication.	Chapter 10.25
Prototyping	Used to systematically walk-through the analytics process to highlight certain conclusions. Prototyping is especially useful in predictive and prescriptive analytics settings.	Chapter 10.36
Root Cause Analysis	Used to organize various insights in such a way that explains a particular business phenomenon.	Chapter 10.40
Stakeholder List, Map, or Personas	Used to understand stakeholder needs and determine the visualization and communication requirements.	Chapter 10.43
Workshops	Used to distill multiple insights generated throughout the analytics life cycle to a set of business-relevant insights.	Chapter 10.50
Storyboarding	Used to communicate complex visualization or analytics approaches to stakeholders.	Chapter 11.1 The Agile Perspective
3-minute Story	Used to communicate insights to stakeholders in the form of a short business narrative.	N/A
Business Visualizations	Used to derive and communicate insights in simple and easy to understand charts, graphs, infographics, audio- visuals, and so forth. Business visualizations are meant to be simple representations for the consumption of stakeholders.	N/A
Data Journeys and Orchestration	Used to connect the entire data analysis journey and various decision points and analytics steps involved in the discovery process in the form of a visual hierarchy.	N/A
The Big Idea	Used to communicate the most relevant findings in a succinct manner. For example, if a visualization shows an S-Curve between marketing expense and the revenue generated by a cohort of customers, the big idea answers the “so -what” question, that is “beyond a certain dollar value marketing expense does not have any impact on revenue.”	N/A
UX Patterns or Frameworks for Data Visualization	Used to design the visuals and stories using a distinct UX framework or best practices used in the enterprise.	N/A