Introduction: why this action matters for adoption
Measuring progress during a change is not an administrative reporting task; it is an adoption intervention. A project can go live, communications can be sent, and training can be completed while the impacted group still works around the new process, uses the system incorrectly, or quietly waits for the change to fade. Prosci’s change measurement guidance distinguishes between change management activity, individual adoption, and organizational performance, and highlights adoption speed, utilization, and proficiency as practical adoption measures [Prosci Change Management Success]. (prosci.com)
This action helps the change manager see whether the change is taking hold and decide what to do next. It links evidence to action: reinforce what is working, remove barriers where adoption is weak, and escalate decisions where the change is not producing the intended benefits. PMI’s benefits realization guidance makes the same connection at project level: benefits need to be identified, delivered, and sustained after transition to the business [PMI, 2016]. (pmi.org)
What this action is and when to use it
Measuring progress against defined objectives and KPIs means agreeing what successful adoption looks like, selecting a small set of indicators, gathering evidence regularly, reviewing it with accountable stakeholders, and using the findings to adjust support. It sits in the change management category of adoption measurement and reporting.
Use it from the start of a change, not only after go-live. GOV.UK’s performance guidance recommends thinking about measurement early, setting objectives, identifying data sources, and using performance data to improve the service [GOV.UK, 2022]. (gov.uk) In change terms, this action is most useful when a change requires new behaviors, process compliance, system use, role clarity, manager reinforcement, or sustained benefit realization.
Preparation: inputs, stakeholders, materials, timing, and decisions needed
Before facilitating measurement, gather the case for change, expected benefits, impacted groups, change impact assessment, process or system design, training plan, readiness data, and any existing baseline performance. If there is no baseline, record the best available current-state estimate and label it as such.
The key stakeholders are the sponsor, business process owner, project or product lead, change manager, people managers, analytics or reporting lead, HR/L&D, and representatives from impacted groups. CIPD notes that people data can come from HR systems, IT systems, and other business systems, but also warns that employee monitoring can become contentious if it feels irrelevant, unnecessary, or intrusive [CIPD, 2025]. (cipd.org)
The group must decide what will be measured, how often, who owns each metric, what threshold triggers action, who sees the report, and what decisions the report is meant to support. CDC evaluation guidance recommends indicators that align to the evaluation purpose, use SMART criteria, and are supported by clear data collection protocols [CDC, 2026]. (cdc.gov)
Step-by-step facilitation guide
Restate the change objective in adoption terms. Translate “implement the new CRM” into “sales teams record qualified opportunities in the CRM within two business days, with complete customer and next-step data.” This keeps the conversation focused on changed work, not project activity.
Select a balanced set of KPIs. Include evidence of readiness, usage, proficiency, experience, and business outcome. Prosci’s adoption measures of speed, utilization, and proficiency are useful anchors [Prosci Change Management Success]. (prosci.com)
Define every KPI clearly. For each KPI, specify the formula, data source, baseline, target, reporting frequency, segment, owner, and action threshold. CDC’s guidance emphasizes clear indicator definitions, data quality, and avoiding unnecessary respondent burden [CDC, 2026]. (cdc.gov)
Segment the data by impacted group. Adoption usually varies by role, location, tenure, manager, customer segment, or workflow. GOV.UK recommends using performance data to identify where users drop off and segmenting data to understand group differences [GOV.UK, 2022]. (gov.uk)
Run a regular adoption review. Facilitate a short review with the sponsor, process owner, project lead, and selected managers. Ask: What changed since last review? Where is adoption strong or weak? What barrier is most likely causing the gap? What decision or support action is required?
Close the loop with managers and employees. People managers are well positioned to provide feedback from employees, identify resistance, and coach people through the change [Prosci CLARC, 2025]. (prosci.com) Share the “so what” of the data, not just a dashboard.
Adjust support and reinforcement. If adoption is low because people lack skill, improve practice support. If usage is high but quality is poor, provide coaching and job aids. If adoption is blocked by design issues, escalate to the product or process owner. If resistance is values-based or trust-based, involve the sponsor and managers directly.
Example: how this could be applied in a real change initiative
In a finance transformation, the organization introduces a new purchasing workflow. The project KPI is go-live readiness, but the adoption objective is that budget holders submit compliant purchase requests through the new workflow before committing spend.
The change manager agrees four indicators: percentage of requests submitted through the new workflow, percentage returned for missing data, average approval cycle time, and manager pulse feedback on user confidence. In the first month, usage is high but returns for missing data are concentrated in two regions. Manager feedback shows that users understand the tool but not the new purchasing policy. The corrective action is not another system demo; it is a targeted policy clinic, revised examples, and manager coaching in the two regions. This is measurement doing its job: revealing the barrier and guiding support.
Roles and responsibilities
The sponsor owns the definition of success, resolves priority conflicts, and reinforces that the KPIs matter. The change manager designs the measurement approach, facilitates adoption reviews, and turns findings into actions. The project or product lead supplies system and delivery data and fixes solution barriers. People managers interpret local adoption patterns, coach employees, and surface resistance. HR/L&D supports learning measures and capability gaps. Analytics or reporting specialists protect data quality and produce clear reports. Impacted employees provide feedback on whether the change works in practice.
McKinsey’s transformation research found that progress communication, role clarity, transformation-related metrics, and line-manager/frontline engagement are associated with higher transformation success, so these roles should be treated as part of the measurement system, not merely as report recipients [McKinsey, 2021]. (mckinsey.com)
Common mistakes to avoid
Measuring only activity, such as emails sent or training attendance, while ignoring actual use and proficiency.
Tracking too many KPIs, creating reporting noise rather than decision insight.
Starting measurement after go-live, when there is no useful baseline.
Reporting only averages, which can hide adoption gaps in specific teams or locations.
Using dashboards punitively, which can reduce trust and distort behavior.
Collecting employee-level data without a clear purpose, privacy review, or communication plan.
Reviewing metrics without assigning corrective actions, owners, and due dates.
Measures of success or adoption indicators
A practical adoption dashboard should show whether the change is being used, used correctly, and producing the intended effect. Typical indicators include adoption speed, active usage, process compliance, error or rework rate, proficiency assessment, employee confidence, manager-observed behavior change, help desk themes, customer or service impact, and progress toward the expected business benefit.
The measurement action itself is working when adoption reviews happen on schedule, data is trusted, managers use the insights, barriers are resolved faster, support is targeted to the groups that need it, and the business owner can explain whether benefits are on track.
Checklist for the change manager
Confirm the change objective and expected benefits.
Define the specific behaviors that show adoption.
Select a small set of leading and lagging KPIs.
Capture baseline data or document the best available proxy.
Define each KPI, owner, source, frequency, and threshold.
Segment reporting by impacted group where useful.
Agree the adoption review cadence and decision forum.
Validate data privacy, access, and interpretation risks.
Pair quantitative metrics with manager and employee feedback.
Track corrective actions until closed.
Plan the handover of ongoing measures to the business owner.
Optional reusable worksheet
Field | Working notes |
Change objective | What business result or benefit is the change intended to enable? |
Adoption behavior | What must people do differently in observable terms? |
KPI | What evidence will show progress? |
Baseline | What is today’s level or best current estimate? |
Target and date | What level is expected, and by when? |
Data source | System report, survey, observation, audit, manager feedback, service data |
Segment | Role, team, site, region, process step, customer group |
Owner | Who explains the result and acts on it? |
Review cadence | Weekly, fortnightly, monthly, phase gate |
Action threshold | What result triggers support, escalation, or redesign? |
Corrective action | What will be done, by whom, and by when? |
References
Prosci. “Change Management Success.” Publication date not stated.
https://www.prosci.com/change-management-success
Project Management Institute. “Benefits Realization Management Framework.” November 2016.
https://www.pmi.org/learning/thought-leadership/series/benefits-realization/benefits-realization-management-framework
Centers for Disease Control and Prevention. “CDC Program Evaluation Framework Action Guide.” February 2026.
https://www.cdc.gov/evaluation/media/pdfs/2026/02/CDC-Program-Evaluation-Framework-Action-Guide.pdf
CIPD. “People Analytics.” 7 February 2025.
https://www.cipd.org/en/knowledge/factsheets/analytics-factsheet/
McKinsey & Company. “Losing from day one: Why even successful transformations fall short.” 7 December 2021.
https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/successful-transformations
GOV.UK Service Manual. “Using performance data to improve your service: an introduction.” Published 23 March 2016; updated 6 April 2022.
https://www.gov.uk/service-manual/measuring-success/using-data-to-improve-your-service-an-introduction
Prosci. “CLARC: The Role of People Managers in Change Management.” Published 28 June 2021; updated 24 April 2025.
https://www.prosci.com/blog/clarc-the-role-of-people-managers-in-change-management