For us, public projects start with communities.

We support culturally competent engagement practices. WE build engagement plans using methods that center the voice of the community in the final outcome. Each project is built with a language access plan to ensure we gather representative feedback from the public.

From complex multi-stakeholder aviation projects to streamlined research studies, we understand the needs of various public involvement activities and adhere to required Federal standards for plain language.

Our Services

  • Culturally Competent Engagement Plans

  • Language Access Plans

  • Translations

  • SMS & Online survey platform

  • Community Facilitation & Workshops

  • AI Tools for Comment Analysis

  • Community-Informed Reccommendations

Recent Projects

Read more about our work conducting Mobility Studies and supporting Comprehensive Plans.

Featured
The City of Lynn
The City of Lynn

The City of Lynn kicked off their comprehensive plan with a co:census SMS survey in 8 languages.

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City of Tucson’s Department of Transportation and Mobility
City of Tucson’s Department of Transportation and Mobility

The City of Tucson’s Department of Transportation and Mobility team needed to analyze more than 1,000 public comments to re-design their First Avenue corridor.

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HealthUp Surveys Congress Heights
HealthUp Surveys Congress Heights

A public health study gathers accessible digital feedback during the pandemic.

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The San Francisco County Transportation Authority and The Great Highway
The San Francisco County Transportation Authority and The Great Highway

The San Francisco County Transportation Authority received more than 2,000 public comments in multiple languages on concepts for re-opening a major thoroughfare.

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The San Francisco County Transportation Authority and Congestion Pricing Policy
The San Francisco County Transportation Authority and Congestion Pricing Policy

The San Francisco County Transportation Authority (SFCTA) launched a congestion pricing study and used co:census to increase representative feedback by 20%.

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