> For the complete documentation index, see [llms.txt](https://twbvoiceplaybook.clearglobal.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://twbvoiceplaybook.clearglobal.org/6.-community-engagement/6.3-approaches-to-community-engagement.md).

# 6.3 Approaches to community engagement

To build and maintain energy in the community during data collection, you need to develop approaches that are continuous, focused and intentional. Key approaches included:

* **Creating vibrant spaces for communication:** We used WhatsApp groups for daily updates, shout-outs, solving problems, and sharing good news.
* **Running special events:** For example, data collection marathons, meaning periods of intense data collection. We used leaderboard[^1] challenges to create the hype, and themed weeks to get more people to join us.
* **Localizing communication:** We used language that people could relate to in our messages, showing respect for local culture and language differences. We draft a standard message first, then the [Language Leads](#user-content-fn-2)[^2] adapt it and add some bits of local language.
* **Direct, human support:** Language Leads acted as first points of contact to increase trust and answer any questions. This is a tried and tested approach.
* [**Data incentives**](#user-content-fn-3)[^3]**:** As well as giving recognition points that people could collect and swap for money, we noticed that the cost of data is high in low-resource settings. So we offered data incentives and this helped to increase levels of engagement. 

[^1]: **Leaderboard:** A table view that displays the performance of all contributors and allows them to compare how well they are doing against others in real time.

[^2]: **Language Leads (LLs):** Language experts with lots of experience. They can do spot checks to ensure quality and can give feedback.

[^3]: **Data incentive:** This means giving internet data to certain contributors to motivate them. They will then hopefully deliver more tasks.