Stanwell Speaks: How Co-Creation and AI Turned Community Voices into a Development Plan

Stanwell Speaks: How Co-Creation and AI Turned Community Voices into a Development Plan

A case study about how co-creation and AI transformed community voices into a strategic development plan

Stanwell is a small community in Spelthorne, Surrey, UK, located just a few minutes from Heathrow. Despite its proximity to one of Europe’s largest airports, Stanwell remains a deeply local, almost “inner” world - a place where many families have lived for generations, where people know their neighbours, and where calm, green spaces and a sense of one’s “own circle” are genuinely valued.

It is both a strong and vulnerable area: alongside a deep local attachment, serious challenges exist - from poverty and transport isolation to issues with safety and a lack of opportunities for young people.
 Yet at the same time, Stanwell is a place with significant potential: an active community infrastructure, schools, volunteers, meeting spaces and people who sincerely want change.

When we began the Stanwell project with Active Surrey and Voluntary Support North Surrey, we understood that we had to start with a deep understanding of the place and its people. But standard survey methods cannot provide the depth required. This is a place with an exceptionally strong sense of locality, with its own stories, contradictions, emotions, imagery and pride. To understand it, questions alone were not enough. We needed genuine conversations - to listen and to read between the lines.

This is how the concept of Stanwell Speaks was created - a project in which 145 conversations with residents (approximately 1% of the entire population) became not simply a collection of thoughts but data, structure, and strategic decisions.
 It is a story about how technology and human empathy work together.

The search for truth: how we gathered the community’s voice

We chose a method that allows people to speak freely, naturally and at their own pace - the Appreciative Inquiry method.
 Not surveys or questionnaires, but sincere conversations in the places where people usually spend their time: food banks, libraries, churches, cafés or community centres.

People spoke about everything: what inspires them and what frightens them; what worries them and what they cherish; what they feel is missing and what they would like to protect.

We received living material - very extensive and very “human”.
 145 conversations meant dozens of hours of audio and hundreds of pages of notes.
 These were stories, emotions, fragments of daily life, a large mix of facts and experiences.

It was exactly the reality we were looking for. But how could we turn it into real data or a structure?

Innovative analytics: how we used AI not as a gimmick but as a thinking tool

We decided to let AI analyse each conversation (naturally without any personal contact details) and under strict human supervision.

We created our own AI framework that worked in three stages.

First, the AI “read” each interview as a data set: identifying themes, emotions, contexts, repetitions and contrasts.
 This was not simple sentiment analysis but deep semantic structuring.

Second, we set it a complex analytical framework: six key problems identified in previous research, and we added an instruction to search for new themes if they existed.
 This is how the AI itself surfaced two major categories not included in the brief:

- neglect of natural assets
 - a breakdown in communication

This became an important discovery.

Third, we required complete transparency: every analytical conclusion had to be supported by a verbatim quote and a tag showing who said it (not a name but the file number assigned to each participant).

This allowed us to avoid even the smallest risks of distortion through selective interpretation on our part.

As a result, chaotic, lively conversations became a structured map with 154 positive and 248 negative mentions, categorised into themes, subthemes, frequency and impact strength.

The thing that is important to note is that AI only structured the data.We interpreted the information.

The analytical model that transformed residents’ voices into an action plan

After structuring, we created a model that allowed us to view the Information as a system rather than as isolated comments.

We assessed each theme using two parameters:

  1. how strongly it affects quality of life

  2. how difficult it is to resolve institutionally

This gave us a criticality/complexity matrix, where the following became immediately visible:

  • issues that are easy to resolve but highly important (ideal quick wins)

  • issues that are critically important but difficult (long-term strategy)

  • areas where the key problem is not the facts but communication

This gave us a realistic, prioritised, logically grounded action plan.

The key discovery: Stanwell is loved more than people say

The data revealed what wasn’t visible on the surface.
Despite the long list of problems - fear of going out in the evening, open drug dealing, weak policing, poverty, lack of activities, transport difficulties - people continue to call Stanwell home.

A deep sense of home, the feeling of “we belong here”, genuine support for one another - this is a huge hidden strength. It is a key resource on which the future identity of the place can be built.

From insights to real solutions

Once we assembled the data, it became clear: some problems were not where people expected them to be.

1. Heathrow: the problem was not attitudes but an information vacuum

Before the project, it seemed that people were “against the airport” and anxious about potential expansion.
 But the conversation analysis revealed something else: most residents felt positive or neutral towards Heathrow.
 The problem lay not with the airport itself but with the lack of information about future changes.

People were living in a state of worry and assumption because they had no official, clear communication.

This was a key insight: community sentiment could be improved very quickly if Heathrow became a genuine partner in dialogue.

This led to the idea of “Safe Stops” - a joint project with Heathrow.
 By combining data about fear of walking in the dark, unsafe routes and lack of lighting in parks, with the need to bring the airport closer to residents, we created the concept of Heathrow Safe Stops.
 These are brightly lit, airport-terminal-style bus stops in Stanwell that could be upgraded in partnership with Heathrow.

They are not just infrastructure but a symbol of partnership that residents can see every day.

2. Communication: the issue was not the services but that no one knew about them

Many people said: “We have plenty here, but no one knows what, when or where.”
 We identified deep fragmentation of channels, a lack of a single source, a disconnect between organisations, and complete isolation of older people from information.

This meant that any improvement in infrastructure, activities, services or events would be almost invisible without a proper communication system.

Therefore, communication became a separate strategic priority.

3. A theme that emerged spontaneously: a lack of space for men

During analysis, we began noticing one repeated detail.
 In very different interviews, the same idea appeared: older men especially had nowhere to gather and felt “on the sidelines” of active social life.

The community offers many activities for children, women and families, but almost nothing that would provide a natural, informal space specifically for men - particularly those experiencing loneliness, fatigue, psychological pressure, or simply looking for a place to be among “their own”.

This led to the idea of “Man’s Place” - a small, intimate space where men can meet, talk, do things together (like fixing equipment) and have their own safe environment.

And although this initiative may appear small, its potential psychological impact on the community is significant.

The final result

As a result, Stanwell received not just an analytical report but an accurate, in-depth map of its present reality.
 The voice of the community - in all its tones - was transformed into systematic knowledge, and that knowledge into concrete actions.

We proposed a set of quick improvements, long-term strategic directions and several ready-to-implement projects.

Most importantly, we developed a methodology that helps small places work with digital tools while minimising human resource demands.

Stanwell Speaks demonstrated that when a community is given the opportunity to speak, it provides answers that can shape the future.

From dream to action

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