The organization has systems and processes to align data collection and evaluation with its goals and objectives for engaging PWLE.
- What tools and processes do we currently use to track progress on our goals and objectives for engaging PWLE?
- Are there any gaps in the type of data we collect and evaluate? For instance, do we primarily track process measures, but not longer-term outcomes and impacts?
- How do the tools and process we have in place support our measurement process and how do they hinder it?
Set clear, SMART goals to anchor your measurement approach. The first step to aligning data collection and evaluation with your stated goals is to ensure those goals are SMART– Specific, Measurable, Achievable,Realistic/relevant, and Timebound. Strong goals create the foundation for meaningful measurement by clarifying what you aim to accomplish, what success looks like and what information you need to track to understand progress. SMART goals also guide decisions about what to measure, how to measure it, and how to assess whether you are moving in the right direction.
Once goals are clear, the next steps are to:
- Identify the information needed to track progress. Determine what information is necessary to track and evaluate progress on your goals and objectives and where it will come from. Common sources of data from engaging PWLE include:
- Quantitative data: survey responses, attendance logs, participation rates, insight counts, counts of actions taken, etc.
- Qualitative data: interview or focus group transcripts, open-ended survey responses, storytelling narratives
- Contextual data: meeting notes, advisory committee minutes, insights from informal conversations with PWLE
- Select tools and processes for consistent data collection and analysis. Choose tools that align with your organization’s capacity and the purpose of measurement. The goal is to make data collection consistent, accessible, and useful – not burdensome. Before creating new systems, review what already exists; many organizational databases, evaluation tools, or feedback mechanisms can be adapted to support this work.
Examples of tools and processes includes:
- Low-tech: shared spreadsheets, Word templates, or meeting logs to record key insights, actions, and examples of impact
- Medium tech: online forms or surveys (e.g., Google or Microsoft Forms, SurveyMonkey) to collect feedback efficiently
- Higher-tech: data dashboards (e.g., Tableau, Airtable, Power BI) that support real-time tracking and analysis
Even simple tools can create a strong foundation. A shared document used across teams to record insights from PWLE, anecdotes and examples of impact can be a meaningful place to start. Organizations may also find opportunities to repurpose existing data systesm–or decide that beginning with a simple spreadsheet is more feasible, especially if measuring the work with PWLE is new.
- Define roles, responsibilities and timelines. Clarify who is responsible for collecting, reviewing, and interpreting the data. Include PWLE in data interpretation. Set a routine schedule for data collection – monthly, quarterly or annually depending on the measure – to ensure that measurement happens routinely rather than ad hoc or inconsistent tracking.
Community Health Plan of Washington staff maintain a tracking tool to organize and summarize member insights by key themes and assign action responsibility to specific “business areas.”
HealthierHere staff track feedback using meeting minutes and an engagement tracker to document input, organizational responses, and responsibility.