Do you have the right environment and framework present for change management to be successful? The PCT Analyzer helps you identify any gaps that might be present that might limit the effectiveness of your change management work. Read on to see how this tool can help you position your projects, and change management, for success.
Prosci's PCT (Project Change Triangle) Model is a simple but powerful way to evaluate how well a project is positioned to succeed and where efforts need to be focused to improve performance. The tool examines Leadership/Sponsorship, Project Management and Change Management. A simple 10-question assessment of each "corner" sheds light on where risks exist and guidance on next steps. Prosci's newest tool, the PCT Analyzer, provides an easy-to-use web interface for collecting data, analyzing results, identifying risks and diagnosing project performance.
Module one in this tutorial series discussed the value of collecting data from a group and over the lifecycle of the project. This module provides a description of the different outputs generated by the PCT Analyzer and how you can use them on the projects you support. Find out more about this exciting new tool by downloading the PCT Analyzer user manual.
The PCT Analyzer generates the outputs below when you input or collect data from people working on a project. The tool allows you to enter data manually - for instance, if you collect results in hardcopy at a meeting - or by using a dynamically generated webpage. Click here to see an example of a data collection page for "Demo project" at "Sample checkpoint."
Outputs generated by the PCT Analyzer:
Below is an explanation of the data that is generated when you collect data from a group at a checkpoint using the PCT Analyzer.
In addition, the Profile Data includes two graphical representations of the average scores.
Less than 20: High risk / jeopardy - needs immediate action
20 to 25: Alert / possible risk - needs further investigation
25 to 30: Strength - should be leveraged and maintained
Screenshot of Profile Data output from the PCT Analyzer
Screenshot of Question Level Data output from the PCT Analyzer
The analysis components - both Profile Analysis and Question Level Analysis - pull from an extensive knowledge base to provide discussion, consequences and next steps based on the results of the quantitative outputs from above.
Profile Analysis is based on the color-coded PCT profile created in the Profile Data section. Each of the three elements - Leadership/Sponsorship, Project Management and Change Management - can be either a high risk (red), alert (yellow) or strength (green). These dynamics result in 27 possible PCT profiles, pictured below using the stop-light color coding. The PCT profile that results from your assessments has implications on the project and how to move forward. The PCT Analyzer provides specific discussion points on each of the 27 profiles pictured below.
Possible PCT profiles
Question Level Analysis
Question Level Analysis is perhaps the most robust element of the PCT Analyzer. Here, you are provided with discussion points, consequences and next steps based on every factor that has an average score of less than two. In the example below, the following two factors had average scores of less than two (in the example, the right-hand column shows that each factor had an average score of 1.7):
The PCT Analyzer pulls from the knowledge base to provide you with guidance on every factor that has an average score of less than two. For example, if you have three factors that score below two, you will have three outputs here. If you have 24 factors, you will have 24 outputs. The tool responds to your specific situation.
Screenshot of Question Level Analysis output from the PCT Analyzer
The PCT Model and Assessment provides solid insights into how a project is positioned. The PCT Analyzer takes the tool up a notch - enabling you to:
From numeric analysis to qualitative discussion of those results, the output of the PCT Analyzer gives project teams guidance and direction.
Tim Creasey is Prosci’s Chief Innovation Officer and a globally recognized leader in change management. His work forms the foundation of the largest body of knowledge in the world on managing the people side of change to deliver organizational results.