The Rise of the “Pickleball Effect” | Communiti Labs Blog
The Rise of the “Pickleball Effect”

The Rise of the “Pickleball Effect”

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Finn Clark

🧠 Summary Box (TL;DR)

A small, highly motivated group can dominate a consultation and tilt outcomes away from the wider community. This post explains the “pickleball effect,” why it matters for councils, and how to balance strong voices with fair representation through better methods, guardrails and transparent reporting.

TL;DR: Passionate groups are valuable, but without checks they can outweigh broader needs. Diversify engagement methods, monitor patterns in responses, and show clearly how many and which voices shaped the decision.

✍️ Sections

What is the “pickleball effect” in engagement

If you have not heard of pickleball, picture a fast, social sport that inspires loyal fans. In community engagement, the pickleball effect is a useful metaphor for small, organised groups that turn up in numbers, post frequently, and know how to work the process. Their energy is not the problem. The risk is that their volume can overshadow quieter residents with less time or access, which can distort the picture of what the community as a whole needs.

The goal is not to mute motivated people. It is to keep the stage level so decisions reflect a broad cross‑section of residents, not only those with the time and tactics to be most visible.

When a minority shakes the majority

Most councils use surveys, forums and meetings to invite input. These formats aim for openness, yet they can be dominated if a well‑organised group mobilises quickly. Think of a library expansion designed to serve thousands of residents being delayed because a small sports group wants the nearby land reserved for its own use. Without safeguards, a decision can unintentionally favour a few and leave others frustrated, which harms trust and future participation.

This is why engagement practitioners need to “watch out.” Not to block a viewpoint, but to avoid a situation where the loudest voices become the only voices that count.

Practical ways to balance the scales

Start by widening the funnel. Pair online surveys with pop‑ups in different neighbourhoods, go to where people already meet, and offer translated and accessible formats so under‑represented groups can take part. Spread touchpoints across times and channels so people with caring or shift‑work responsibilities are not excluded.

Add guardrails to the data. Track unusual spikes in responses, check participation by suburb and key demographics, and look for repeated talking points that signal organised campaigns. Use analysis tools to group similar comments and identify gaps, then run targeted outreach to fill those gaps. Finally, keep it transparent. Publish “what we heard,” show who took part, explain how input influenced the outcome, and be clear where a single cohort had a strong view but the broader community needed something different.

❓ Optional FAQ

Q: How do we prevent one group from overwhelming a survey without shutting them out
A: Offer multiple ways to participate, monitor response patterns, and fill gaps with targeted outreach. In the report back, show participation mix and explain how all inputs were considered.

Q: Is it fair to weight or segment results by cohort or location
A: Yes when you are transparent about the method. Segmenting helps reveal where views differ and supports decisions that serve the whole community.

Q: What are early signs that a consultation is being dominated
A: Sudden bursts of identical or near‑identical comments, strong skew from one suburb or interest group, or participation patterns that do not match the expected audience.

🔚 Conclusion / Call to Action

Enthusiastic contributors are a strength. Fair decisions come from pairing that energy with inclusive methods, basic data checks, and clear follow‑through. Do not silence the pickleball fans. Invite them in, bring everyone else with you, and make the reasoning visible so trust grows rather than frays.

CTA: Book a 20‑minute sandbox demo of Communiti Analysis to see how we surface patterns and support transparent “what we heard” reporting.
CTA: Prefer a preview first See a sample executive report.