Measure success

Best practices for developing meaningful measurement.

Definition

One crucial aspect of an agile project is defining clear success metrics and making sure measurements are conducted to keep on track.

Here are a few examples:

  • Key metrics can include “lead” - the time required for a feature in the backlog to move into production, or ‘velocity’ - the number of user stories completed in one cycle.

  • Goal-aligned metrics can be evaluated from ‘user adoption’ or assessing ‘customer satisfaction’. For all chosen metrics, make sure they relate to broader strategic goals as well as projects artefacts, roadmap, and backlog.

  • Validation metrics can take the form of “user stories” or “number of bugs.” They need to motivate desired behaviours and emphasise a greater focus on results.

  • Establishing management commitment can be done through regular and frequent meetings to ensure involvement. Senior buying is crucial to the success of the project. Lack of leadership involvement and understanding is one of the most common reasons for project failure.

  • For data-driven decisions, leverage automated tools to capture performance. Increase automation as much as possible.

  • To communicate performance, use development and management tools that allow the capture and display of metrics and measurements in real-time.

Impact

Defining and tracking clear metrics transforms decision-making from intuition-based to data-driven, ensuring resources are invested in features that deliver real value. It fosters a culture of continuous improvement where teams can pivot quickly based on evidence, ultimately leading to higher user adoption and operational efficiency.

Good Design

Makes use of the global star rating system for services to assess service performance.

In order to improve efficiencies, precise measurement is crucial. Data-driven performance and efficiency tools help manage all dimensions of a service efficiency:

Operational efficiency

Tools, roles and examples
  • Business Process Management (BPM), map, analyse and automate workflows.

  • Project management tools - track progress, coordinate tasks (e.g., Trello, Asana)

Metrics that can be monitored:
  • Number of services completed in a given period (throughput).

  • Percentage of tasks that contain errors and require rework (error rate).

Personnel efficiency

Tools, roles and examples
  • Business intelligence and data analytics: provide insights from data to support decision-making (eg, Tableau, PowerBI)

  • IT Service Management (ITSM): control IT service delivery, improve reliability and responsiveness (e.g., ServiceNow, Jira)

  • Robotic Process Automation (RPA): automate routine tasks (E.g., UiPath,
Blue Prism)

  • Customer Relationship Management (CRM), Streamline interactions with public (e.g, Salesforce, Microsoft Dynamics)

Metrics that can be monitored:
  • Time taken to respond to a request (response time)

  • Time a system is operating and available (uptime)

  • Level of customer satisfaction (user satisfaction score)

Financial efficiency

Tools, roles and examples
  • Financial - manage finances, track spending (e.g., quickbooks, oracle, netsuite)

  • Budgeting - support budget planning and forecasting (e.g., adaptive insights, planfull

Metrics that can be monitored:
  • Percentage of budget used effectively (budget utilisation)

  • Difference between budgeted cost and actual cost (cost variance)

Related resources

Further resources relating to how we measure success this when we work.

Related Service Principles

Our service principles that relate to measuring success.