Why Measurement Matters
Activity isn't impact. Running a program, hosting an event, publishing a resource - these are outputs. Impact is whether anything actually changed for the community. Without honest measurement, community development is guesswork.
Ktown Team's approach to impact measurement is guided by the principles in our evaluation framework: clear goals, rigorous data, community voice, and willingness to report what didn't work alongside what did.
What We Measure
Community Engagement
- Participation rates across programs, events, and platform tools
- Demographic diversity of participants - are we reaching the people who need us most?
- Depth of engagement - one-time participation vs. sustained involvement
- Community feedback scores from surveys and feedback tools
Program Outcomes
- Specific, measurable objectives set at program launch (SMART criteria)
- Progress tracking against those objectives at quarterly intervals
- Resident-reported changes - did the program actually help?
- Unintended outcomes, positive and negative
Organizational Health
- Volunteer retention and satisfaction
- Financial sustainability indicators via dashboard
- Staff and volunteer development metrics
- Cross-team collaboration frequency and quality
How We Measure
- Quantitative data - Platform analytics, participation counts, financial metrics, survey scores.
- Qualitative data - Interviews, focus groups, community stories, open-ended feedback.
- Community co-research - Residents participate in designing and conducting research, keeping our perspective grounded in local reality. See community-driven research.
- Independent assessment - External evaluations for major initiatives, published alongside internal findings.
How We Report
Impact data is published through multiple channels:
- Annual impact report - Plain-language summary of outcomes, challenges, and next steps.
- Real-time dashboards - Platform analytics available to all community members.
- Quarterly updates - Presented at community meetings and published on the website.
- This wiki - Methodology, frameworks, and findings documented as institutional knowledge.
We report what didn't work with the same rigor as what did. Selective reporting destroys trust. Community members who see honest data - including failures - are more likely to stay engaged and contribute to improvement.