Finding the right Community Manager metrics can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.
Copy these examples into your preferred tool, or adopt Tability to ensure you remain accountable.
Find Community Manager metrics with AI
While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.
Measures the level of participation and interaction from the community regarding the nature reserve concerns, typically calculated as the ratio of engaged community members to the total number of community members reached
What good looks like for this metric: 20-30% engagement rate
Ideas to improve this metric
Increase accessibility of communication channels
Organise community events and workshops
Utilise social media platforms for wider reach
Encourage feedback and suggestions
Foster relationships with community leaders
2. Response Timeliness
Tracks the average time taken to respond to community concerns, calculated from the time a concern is raised to the time an initial response is provided
What good looks like for this metric: 24-48 hours response time
Ideas to improve this metric
Implement an automated response system
Prioritise concerns based on urgency
Allocate dedicated staff for faster response
Streamline communication processes
Train staff for effective and timely responses
3. Resolution Rate
Calculates the percentage of concerns that have been resolved out of the total concerns raised over a specific period
What good looks like for this metric: 80% resolution rate
Ideas to improve this metric
Develop clear protocols for issue resolution
Conduct regular reviews of unresolved concerns
Engage with experts for complex issues
Facilitate open dialogue sessions for transparency
Utilise data to identify recurrent issues
4. Community Satisfaction Score
Assesses the overall satisfaction level of the community with the responses to their concerns, often measured via surveys
What good looks like for this metric: 75-85% satisfaction score
Ideas to improve this metric
Regularly conduct community satisfaction surveys
Analyse feedback to identify improvement areas
Personalise responses to individual concerns
Provide follow-up updates on resolved issues
Be transparent about limitations and challenges
5. Awareness Level
Measures the level of community awareness about key concerns and efforts made to address them, usually assessed via surveys and feedback forms
What good looks like for this metric: 70-80% awareness level
Having a plan is one thing, sticking to it is another.
Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.
A tool like Tability can also help you by combining AI and goal-setting to keep you on track.
Tability's check-ins will save you hours and increase transparency
The best metrics for Improving MSME Programme Performance