The Asporea Change Investment Justification Tool is a free, practical calculator that helps change teams quantify the cost of under investing in change. It estimates value at risk from under adoption, delays to benefit realisation, and an indicative psychosocial hazard exposure using a Commonwealth WHS lens. Enter your programme figures, planned and recommended change resourcing, then complete the short risk assessments to generate three scenario outputs: Conservative, Moderate, and Elevated. You’ll receive a clear summary of total exposure, planned change investment, and a risk to investment ratio, with an A4 print option for your working pack and governance conversations.
After adding your project numbers, read each statement and select a response from 1 (Lower) to 5 (Higher). You can work through the questions sequentially, or choose your own order.
Your responses are mapped to a readiness score out of 100. Guidance is shown only after every question has been answered.
Once all questions are complete, a Print results (A4) button will appear.
This generates a printer friendly summary that you can save as a PDF or print for workshops and planning.
The Role group and Expected impact dropdowns are optional. They help you contextualise the results on the printout, but they do not change the score.
This is a rapid indicative snapshot based on perceptions at a point in time. Use it alongside impact assessment, stakeholder insights, and delivery risk inputs. It is not intended for assessing individual performance.
How to use: This tool provides an indicative investment case for change resourcing by estimating value at risk from under adoption and (separately) psychosocial harm exposure. Complete as a change team assessment based on evidence and current delivery conditions.
Money fields accept shorthand: 5m, 2.5m, 300k, or full numbers (commas and $ are fine).
Enter all numbers and answer all questions for results and print.
If you are planning or delivering an AI, digital or major reform initiative, early adoption planning significantly improves outcomes and reduces delivery risk.