Why it exists
Public engagement generates an enormous amount of valuable community feedback, but the systems around it are often fragmented. Practitioners lose time moving between survey tools, spreadsheets, transcripts, documents, and manual reporting workflows. Evidence becomes separated from its source, decision-makers struggle to see how conclusions were reached, and communities rarely hear what happened next.
The human cost matters more than the administrative one. When people repeatedly share their experiences but cannot see where their contribution went, engagement starts to feel extractive. Trust falls and even good decisions become harder to explain.
Communiti Labs started with a simple conviction: people should be able to see that their voice mattered.
Starting with practitioners
Before building the product, we spoke with 100 practitioners about what they loved about their work and what stopped them from doing it well. The same trade-off kept appearing: spend heavily to work through every source, leave some voices out to meet the deadline, or push the deadline back.
We began with Communiti Analysis and spent 2024 co-designing it with practitioners across 13 local government areas and councils. That process turned a broad mission into concrete product rules: accept the messy formats engagement actually produces, preserve the original evidence, keep practitioners in control, and make the final reasoning easy to defend.
What I built
My work on Communiti Labs spans company strategy, practitioner research, product architecture, experience design, and hands-on software delivery. The result is a connected platform for the full engagement cycle rather than another isolated survey or reporting tool.
Communiti Analysis
Analysis turns mixed feedback into evidence that a project team can use and defend.
- It brings surveys, documents, spreadsheets, transcripts, images, audio, and video into one workspace.
- It produces themes, sentiment, summaries, representative quotes, and reporting-ready outputs.
- Every finding can be traced back to the original contribution instead of becoming an unsupported AI claim.
- Human review remains part of the workflow, especially where nuance, risk, and public accountability matter.
The practical shift is from weeks of manual coding and synthesis to a faster process that still shows its working.
Communiti Conversations
Conversations extends that thinking across the engagement itself: from the first plan to the final follow-up.
- Teams can plan and govern engagement in a shared workspace before collection begins.
- Participation can arrive through web, SMS, email, WhatsApp, voice, uploads, and in-person channels.
- Stakeholder context, responses, review, translation, and the handoff into analysis remain connected.
- Follow-up tools help teams tell communities what was heard, what changed, and what happens next.
Together, the products support councils, state agencies, utilities, infrastructure programs, and engagement consultancies working under public scrutiny.
The principles underneath it
Speed only matters when the result remains trustworthy. Communiti’s product decisions are grounded in a small set of non-negotiable principles:
- Copilot, not autopilot. AI should sharpen a practitioner’s judgement, never quietly replace it.
- Auditable to the original voice. Insights remain connected to what someone actually said.
- Inclusion across channels. A contribution should not count less because it arrived on paper, in person, by voicemail, or in another language.
- Data stays with the customer. Australian data residency, encryption, and no training on customer data are part of the product promise.
- Close the loop. Collecting input is only half the job; people deserve to know what happened next.
These constraints make the engineering harder, but they are the work. Trust cannot be added as a layer once the analysis is finished.
Evidence that it is working
Communiti’s aggregated 2025 product metrics report:
- 2.5 million+ community contributions analysed.
- 1,171 engagement reports generated.
- 4,867 hours of manual coding and synthesis avoided.
- 32x average estimated return on investment, calculated from saved manual-analysis time against platform investment.
The numbers show the scale, but practitioner reactions say more about the change in day-to-day work.
“I can’t believe this took about 20 minutes to produce. It’s exactly how I’d set out my engagement report—but without the hours and hours of manual work.” — Stephanie Roberts, Campbelltown City Council
“What took us three weeks in consulting, Communiti Analysis did in minutes.” — Joyce Jiao, Herekind
What I have learned
Building Communiti has reinforced that responsible technology is not slower technology. Clear evidence trails, deliberate review points, strong data boundaries, and honest caveats help teams move faster because they remove the uncertainty that would otherwise appear at the end.
It has also made one thing obvious: the best civic technology is designed around relationships, not submissions. The unit of value is not a completed form or a generated report. It is a community that can see how its knowledge travelled into a decision.
The broader ambition
Communiti Labs is not a consultancy wrapped around software and it is not another channel for collecting responses. It is an attempt to create a new operating system for public engagement—one that helps teams hear more people, understand what they are saying, decide with evidence, and move with confidence.
The north star remains deliberately human: communities that can see, clearly, that they were heard.