ASPOREA® Make AI and Digital Transformation Actually Stick

ASPOREA® CHANGE INVESTMENT JUSTIFICATION TOOL

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.

INSTRUCTIONS

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.

HOW SCORING WORKS

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.

DISCLAIMER

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.

Asporea Change Investment Justification Tool

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).

Completion
0%
0 / 13 questions answered
Status
Enter all numbers and answer all questions for results and print.
Enter the recommended FTE from your sizing approach, or your current best estimate.
Use a fully loaded rate if you have it (salary, on costs, contractor margins).
Checklist: ✓ means the input is complete and valid.
Scale (1 is lower, 5 is higher)
1 Low or well controlled 2 Some risk 3 Mixed or inconsistent 4 High risk 5 Very high risk
Adoption risk drivers
Delivery complexity is high (dependencies, ambiguity, or frequent scope changes).
Lower Higher
Sponsor strength is weak or inconsistent (visibility, decisions, reinforcement).
Lower Higher
Organisational maturity is low (process inconsistency, unclear ownership, BAU instability).
Lower Higher
Change capability history is weak (previous changes struggled to sustain adoption).
Lower Higher
Change load and saturation are high (competing initiatives, fatigue, capacity constraints).
Lower Higher
Psychosocial hazard risk (WHS lens)
Job demands during the change (pace, workload, cognitive load) are likely to be excessive for impacted roles.
Lower Higher
Role clarity and change related expectations are unclear for many impacted workers.
Lower Higher
Worker control is low (little influence over timing, workload, sequencing, or how work will be done).
Lower Higher
Support is insufficient (manager capability, resourcing, practical help at go live).
Lower Higher
The change increases job insecurity or uncertainty (including restructure anxiety).
Lower Higher
There is high change saturation or fatigue (multiple concurrent changes).
Lower Higher
Consultation and participation mechanisms are weak or inconsistent.
Lower Higher
Known hotspots exist (prior incidents, high turnover, behavioural risks, or high stress areas).
Lower Higher

Results

Enter all numbers and answer all questions for results and print.

Let’s Make Your Transformation Work in Practice

If you are planning or delivering an AI, digital or major reform initiative, early adoption planning significantly improves outcomes and reduces delivery risk.