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Step one: choose one audience and one question
Pick a single community, such as a local running club with three hundred members, and write one question the dashboard must answer: which members are becoming less active, and why might that be? A narrow question prevents the common failure of a crowded screen full of unrelated charts. Note who will read it, usually an organizer, and how often. List the data you could realistically obtain, such as event sign-ups, email opens and a short survey. If an item cannot be collected consistently, leave it off the first version entirely.
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Step two: define signals and a simple score
Translate passion into observable behavior. For the running club, signals might be events attended in ninety days, replies to messages, volunteer sign-ups and friends brought along. Give each signal a modest weight, then combine them into a simple three-level label: active, warming or drifting. Write the rule in a sentence anyone can read, because organizers will not trust a score they cannot explain. Test it by checking five members you know personally and seeing whether the label matches your impression. Adjust weights until the obvious cases look right.
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Step three: mock the page and add an action
Draw one page with a headline number, a trend line, a list of members by label and a suggested action beside each group. For the drifting group, the action might be a personal invitation to the next social run. Fill it with a small real or invented-for-testing sample, clearly marked as such, and show it to the organizer. Ask what decision they would make today. If the answer is vague, simplify the page. A dashboard earns its place only when it changes a concrete follow-up the following week.