Using Community Data to Inform Placemaking: One Trusted Evidence Base for Four Suburban Shopping Strips

The Context

Neighbourhood shopping strips carry much of the social and economic life of a suburb, yet the evidence a council holds about them is rarely gathered in one place, and it is almost never collected in a way that lets one centre be compared fairly with another. A metropolitan Melbourne council came to this problem with four very different activity centres, close to 600 businesses between them, limited funds and several internal teams each holding a piece of the picture, from streetscape and trader relationships to planning controls. What it needed was not four more reports but one trusted evidence base, and from it a clear, comparable plan for each centre.

The Collaboration

POMO was engaged by the council as lead consultant to deliver a Place Vision and Action Plan programme across all four centres, leading the strategy, the analysis and the design of every output. POMO worked alongside Fourfold Studio as engagement partner and RMIT University, which brought a behaviour and culture lens to how the evidence was framed and interpreted. This case study covers three things: how the team listened, how it made sense of what it heard, and how it showed the result back to the people who will use it.

The Engagement

The engagement was designed so that no single group could dominate the picture, which matters on shopping strips where the most frequent voices are not always the most representative ones. An online survey was open to anyone with a view on the four centres, with a dedicated pathway for business owners and operators, while traders were met door to door in their own shopfronts, pop-up sessions were held in the centres themselves, and the public conversation on the council’s own social media channels was read and coded alongside everything else.

Across a survey period of just over six weeks, this produced more than 700 survey responses, more than 280 coded social media comments and more than 50 recorded conversations, together more than 1,000 individual contributions. More than 500 comments and dot votes were also left on pop-up boards, and these are counted separately, because a dot vote is not a person.

Delivering the Programme: The Design & Implementation Process

Gathering input is only the start, and the harder work, which POMO treats as a discipline in its own right, is turning a large and uneven body of community and business input into evidence that is consistent, traceable and readable by people who are not specialists.

One Master Dataset Every source was brought into a single master dataset with a consistent structure, so that any figure in any output can be traced back to the record it came from. The 29 field survey export was cleaned, text corruption in the open responses was repaired and identifying details were removed, and the final dataset was verified row for row against the source before anything was counted. Demographic fields were collected but deliberately not cross-tabulated, because at these subgroup sizes the results could identify individuals.

One Coding Framework Every comment and conversation was coded against a single theme, sub-theme and sentiment framework developed with RMIT University, so that a remark on a social media post and a conversation on a footpath were measured against the same yardstick, and survey open text was coded into 15 themes drawn from more than 200 substantive responses. The same questions and measures were run for every centre, from ratings of pride and safety to perceived barriers and the challenges business owners face, so the four can be compared directly rather than read as four separate stories.

Cross-centre comparison

Welcome and walkability, measured the same way in every centre

Average rating out of 10. Because every centre answered the same questions, the four can be compared directly.

Feels welcomingEasy to walk around
10
8
6
4
2
6.2
7.4
7.9
6.1
5.4
5.8
8.1
7.7
Centre ACentre BCentre CCentre D
Illustrative data, not project results■  Example only

Triangulation over Volume Findings were treated as solid only where they held across independent sources, and where sources disagreed, the disagreement was treated as the finding rather than smoothed away. Parking was the issue most often raised in conversations with traders, yet in the survey of more than 700 people the look and feel of the public space was chosen as a barrier to visiting far more often than parking was, a distinction that matters a great deal for where a council chooses to direct its effort.

Survey result

What would bring people back more often

Selections across all four centres, respondents could choose up to three. n = 1,140.

More shade and greenery
412
Better footpaths
318
Public toilets
287
Evening activity
241
Places for dogs
96
Illustrative data, not project results■  Example only

Triangulation

Where the sources agree, and where they part ways

Share of each source’s coded contributions that raised the theme. A finding is treated as solid only when it holds across sources.

             
SurveySocial mediaStreet conversationsPop-up boards
Shade and greenery46%35%39%28%■  Holds in 4 of 4
Footpath condition26%17%31%6%■  Holds in 3 of 4
Public toilets16%9%5%48%■  One source only
Evening activity14%41%8%23%■  Sources disagree
Places for dogs7%12%4%9%■  Low in every source
Fewer mentions More mentions
Illustrative data, not project results■  Example only

Evidence Fitted to Each Reader POMO designed a family of outputs, each for a different reader and each in the council’s own brand palette, so the evidence reads as the council’s own. A live dashboard for the project team reads straight from the master dataset, so the picture updates as new data comes in, while a self-contained, plain-language insights page gives wider readers the headline numbers, a card for each centre, a cross-centre comparison and a guide to reading the data, with counts, sample sizes and caveats stated up front. A pre-workshop information pack, concise workshop summaries and a short organisational impact note completed the set.

Plain-language summary

A card for every centre, written for non-specialists first

Each card leads with what the evidence says in two or three sentences, then shows the numbers behind it.

Centre A

318 survey responses · 22 conversations

Weekends are busy and weekdays are quiet. Shade, trees and better footpaths were raised in every source, by visitors and locals alike.

               
Visit mostly on weekends
81%
Want more shade
64%
Walk or cycle here
43%

Centre B

276 survey responses · 17 conversations

Most people arrive on foot from the surrounding streets and stay for a short visit. Public toilets and seating were the most common requests.

               
Arrive on foot
59%
Want public toilets
52%
Stay over an hour
18%
Illustrative data, not project results■  Example only

Agreeing Before Writing Two workshops with the council’s internal teams turned the evidence into shared direction, moving the group from four separate reports toward one programme, a strategic overview plus a profile and action plan for each centre, all built on the same method. Before drafting began, a plain-language reverse brief played the brief back to the council so that audiences, purpose and format were agreed in advance, and the actions are being framed in delivery streams, from council-led through to trader-led and community-led, so that the documents enable action rather than commit budget.

The Impact: Evidence Ready to Act On

The programme is still in progress, so the impact described here is the impact of the evidence work itself rather than of any change on the ground, which it is too early to claim. Engagement and analysis are complete, and the strategic overview and the four centre plans are being drafted for staged review by the council.

  • One Evidence Base The council now holds a single, verified evidence base for four centres, built from more than 1,000 survey responses, comments and conversations coded to one framework, with every figure traceable to its source.
  • Assumptions Tested Where a familiar assumption and the wider evidence parted ways, the work has made the difference visible, which has the potential to direct investment toward the conditions people say keep them away.
  • Grant Readiness The plans are designed to give the council a comparable set of actions for each centre, each marked with an indicative cost level, so it is in a position to respond when funding rounds open. 
  • A Reusable Method Because every centre was measured the same way, the approach could be reused for future activity centre work, and repeated over time to show how each centre is changing.

Sustainability Outcomes

Social Sustainability Outcomes

  • Hearing Beyond the Loudest Voices Engagement was designed so that no single group could dominate, meeting traders in their own shopfronts and community members in the centres themselves, which helps reach people who would not attend a formal consultation event.
  • Privacy by Design Identifying details were removed before analysis, demographic results were deliberately not broken down at sizes that could identify individuals, and the council’s social media moderation instructions were applied in full, all of which supports community trust in future engagement.
  • Plain-Language Access Every output was written for non-specialists first, with sample sizes and caveats visible, and the centre documents are being designed with a maximum page count so that time-poor traders, residents and councillors can find what matters quickly.
  • Room for Local ChampionsEach proposed action carries an open place for a trader, community group or council team to step forward, an approach designed to build local ownership rather than leave delivery solely with the council.

Environmental Sustainability Outcomes

  • Digital-First Evidence The dashboard, insights page and workshop materials were delivered as digital, single-file outputs designed to be read on screen, keeping printing to the documents that need it.
  • Engagement in Place Pop-up sessions and door-to-door conversations took the engagement to the centres where people already shop and work, rather than asking participants to travel to a separate venue.

Ready to see what your community data is really saying?

Contact POMO to discuss how we can turn your next engagement into evidence your council, your traders and your community can all read and act on.

Read next: Mackay Place Strategy: From Vision & Community Engagement to Activation

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