Here is a common challenge that we have found organizations experience in the Collect stage of their feedback loop:

Accessibility

• Low participation in multilingual and low-participation communities

Here are two common strategies that we have found organizations use in the Collect stage of their feedback loop:

Survey platforms: Digital tools for gathering structured feedback from larger groups make it easy to ask consistent questions, collect responses at scale, and export data for analysis.

• • Google Forms, Survey Monkey, Typeform

Messaging Tools: SMS and messaging apps for direct, real-time communication reach people where they already are and feel less formal than surveys, making them good for quick feedback, reminders, or follow-up conversations.

• • WhatsApp, Signal

Use Cases

• Send automated reminders to complete the collection method (e.g., survey, sign-up for focus groups, meeting details)

Here are common strategies that we have found organizations use AI in the Collect stage of their feedback loop:

Platforms & Use Cases

• Jotforms or Fillout: AI-enhanced form builders that suggest question wording, create conditional logic (show different questions based on answers), and optimize language for clarity. Use them to design surveys that are inclusive and easier for respondents to complete.

• Otter.ai: Transcribes audio from interviews, focus groups, or listening sessions into text. Use it to capture feedback from people who prefer to speak rather than write, making collection more accessible and reducing transcription burden on staff.

• AI writing assistance (ChatGPT, Claude, etc.):  Generate multiple versions of survey invitation language and test which gets better response rates. Brainstorm accessible alternatives if surveys aren't working (phone calls, postcards, in-person conversations).

Transparency

• Include a note in the survey explaining automated analysis and data privacy

Check out more ethical considerations and guidelines in our AI and Tech Resource Guide.