--- title: "Collaborative Performance Measurement" description: "Small groups analyze a scenario to distinguish inputs, outputs, and outcomes, then collaboratively design linked performance measures. They produce a completed measurement matrix balancing short-term tracking with long-term results." last_updated: "2026-09-07" canonical: "https://unitedwetransform.com/exercises/10-collaborative-performance-measurement/" --- # Collaborative Performance Measurement Small groups analyze a scenario to distinguish inputs, outputs, and outcomes, then collaboratively design linked performance measures. They produce a completed measurement matrix balancing short-term tracking with long-term results. **Time:** 60 minutes. Matches the full 60-minute duration outlined in the Collaborative Discussion Project source instructions. **People:** 4 to 24. Single group if 4 to 7 participants; subgroups of 4 to 6 if 8 to 24 participants ## Choose this exercise **Purpose:** Distinguish between input, output, and outcome measures and draft collaborative metrics for an organizational initiative. **Use it when:** Use during program design, evaluation planning, or project kickoffs when a team needs shared metrics that track lasting impact rather than just spent effort. **Skip it when:** Skip when evaluating personal performance reviews, handling active disciplinary disputes, or when project goals remain undefined. ## Materials and tools - One printed or digital Collaborative Performance Measurement Worksheet per subgroup - One pen per person or access to a shared digital document ## Before participants arrive 1. Print copies of the worksheet or configure digital breakout documents. 2. Arrange seating into clusters of 4 to 6 people, or a single table circle if under 8 participants. ## Say this to open Measuring performance is a standard practice, but we often confuse effort with actual impact. Today we will work through an example scenario to distinguish inputs, outputs, and outcomes, and then build a balanced measurement framework together. ## How to run it ### 1. Introduce measurement levels (10 minutes) Deliver the opening script. Ask the room to imagine teaching a math course and choose which metric best measures student performance: number of assignments assigned, test score, or ability to apply concepts years later. Define the three levels: Input (effort expended), Output (immediate result achieved), and Outcome (lasting impact after the output). Form groups of 4 to 6 participants. If total group size is 4 to 7, keep everyone in a single working group. ### 2. Review scenario and set goal (5 minutes) Direct groups to read the scenario on the worksheet: deciding how to measure the effectiveness of an expensive Artificial Intelligence Ethics Training. Instruct groups to draft a single overarching goal statement defining what employees should demonstrate after training, along with 1 to 2 desired outcomes. ### 3. Develop outcome measures (10 minutes) Instruct groups to work in section 2 of the worksheet. Teams identify specific methods to assess their desired outcomes, list anticipated measurement obstacles, external confounding factors, and ways those measures could prove misleading. ### 4. Draft input and output measures (10 minutes) Prompt groups to identify the operational inputs (such as budget, hours, trainer credentials) and immediate outputs (such as completion count, test scores). Have them record the strengths and limitations of each metric in section 3 of the worksheet. ### 5. Link short-term and long-term measures (10 minutes) Direct groups to create linked metrics connecting immediate outputs to eventual outcomes (for example, percentage of trained staff who identify and log an ethical risk within six months). Teams record these unified measures in section 4. ### 6. Facilitate whole-room debrief (15 minutes) Reconvene the full room. Call on two groups (or two individuals if running as a single small room) to share one linked metric and explain how it prevents mistaking activity for impact. Address the prepared debrief questions, taking up to two contributions per prompt. ## Debrief questions - Why is it valuable to develop performance metrics collaboratively rather than having leadership assign them? - When evaluating whether a program succeeded, where do numerical metrics fall short, and how can stories provide context? - How does distinguishing inputs from outcomes change the way you track your own team's success? **Finished output:** A completed measurement worksheet per group detailing overarching goals, input/output indicators, and linked outcome metrics. ## Remote Create breakout rooms with 4 to 6 participants each, or keep a single room if total attendance is 4 to 7. Provide a shared collaborative document containing the worksheet text for each room. Keep the facilitator on main stage during steps 1 and 6, broadcasting time warnings at each phase. ## Hybrid Place remote attendees into their own breakout room with a shared digital worksheet, while in-person groups work with physical handouts. During the whole-room debrief, alternately call on an in-person cluster and the remote group to present their metrics. ## Access and participation choices - Participants may contribute via spoken discussion, typing in shared notes, or serving as the group timekeeper. - Anyone may decline to share personal career examples and focus solely on the fictional AI ethics case study. ## If the session gets stuck **A group confuses an output with an outcome.** Intervene and provide a neutral example: completing a 4-hour training is an output (an activity finished); a 20 percent drop in algorithmic bias violations over the next year is an outcome (a lasting change in results). **The group gets stuck trying to identify perfect data sources.** Remind the room that outcome measures are rarely perfect; encourage them to document data limitations in the worksheet notes rather than stalling. ## Terms used here - Input: Resources or effort invested into an activity, such as funding, labor hours, or materials. - Output: The immediate, tangible deliverable or completion count resulting from an activity. - Outcome: The specific, observable change, benefit, or lasting result that occurs downstream. ## Participant material: Collaborative Performance Measurement Worksheet Scenario: Artificial Intelligence Ethics Training An organization is deciding whether to invest in an expensive Artificial Intelligence Ethics Training for its staff. To evaluate this investment, leadership needs a balanced measurement plan. 1. Training Goal - Overarching Statement: What should employees know, do, or demonstrate after completing this course? - Target Outcomes: What changes in daily practice or organizational impact are expected? 2. Outcome Measures - How will you measure the target outcomes? - What measurement challenges or confounding factors exist? - How might these measurements be misleading? 3. Input and Output Measures - Key Inputs (effort, resources, staff time): - Strengths and limitations of these input measures: - Key Outputs (deliverables, attendance, test scores): - Strengths and limitations of these output measures: 4. Linked Short-Term to Long-Term Measures - Design a metric that connects an immediate output to a long-term outcome (e.g., trainees who pass the final test and document zero ethical compliance violations over the subsequent 6 months): ## Sources and adaptation Observed in the Collaborative Discussion Project library (entry 3.10 Collaborative Performance Measurement). Retained the core educational model from the Collaborative Discussion Project, including the algebra reflection intro, three-tier framework (input, output, outcome), AI ethics training scenario, and debrief topics. Structured the 60-minute duration into explicit step intervals, added neutral facilitation boundaries, access options, group-size handling rules for 4 to 24 participants, and a complete printable worksheet. [Collaborative Discussion Project](https://www.collaborativediscussionproject.com/items-1/310collaborativeperformancemeasurement) Current run sheet: https://unitedwetransform.com/exercises/10-collaborative-performance-measurement/