AI, TECH, & THE FEEDBACK LOOP
Community Learning Resource
Community Learning Resource
The Feedback Loop is all about getting back to the basics of listening well and closing the loop with the people at the heart of your work. Whether you’ve been working with feedback for years or you’re just starting out, this six-step process offers a clear, practical way to build a stronger feedback practice. It guides you from building the commitment to listen, through designing and gathering feedback, to making sense of what you hear and changing course in response. At its core, the loop is about strengthening relationships, sharing power, and realizing a vision where community voices shape the decisions that affect their lives.
As you move through each stage, this guide explores how agentic and generative artificial intelligence (AI) and technology tools can strengthen your feedback practice, from building buy-in through making meaningful change. These tools can help you listen faster, reach more voices, surface patterns in the data, and communicate findings more clearly. But technology works best when it supports your people and relationships, not replaces them. Each stage below includes specific ways to use AI and tech thoughtfully, alongside guidance on when a tool might help and when human judgment and direct connection matter most.
Buy-in – Start by building genuine commitment—from both your organization and your community—to listen openly, share honestly, and be willing to change based on what you hear.
Design – Co-create your feedback approach: clarify whose voices you need, what questions you’ll ask, and how you’ll ask them, so your listening is grounded, inclusive, and meaningful.
Collect – Invite people to share their experiences in ways that feel safe, accessible, and responsive to their realities, ensuring you hear from those most affected by your work.
Analyze – Look closely at what people told you, combining numbers and stories to surface patterns, gaps, and equity concerns that point to where change is needed.
Dialogue – Bring your findings back to the community, check if you understood correctly, and talk together about what the feedback means and what should happen next.
Course Correct – Act on what you’ve learned—adjust programs, policies, or practices—and clearly communicate, “You told us this, so here’s what we’re doing,” truly closing the loop.
This Before-After worksheet helps your organization visualize and plan the transition from your current feedback practices to a more technology-enabled approach. By documenting both your current state and desired future state side-by-side, you can identify gaps, anticipate challenges, and build a realistic implementation roadmap.
Step 1: Capture the Before
Fill in the orange BEFORE columns honestly. Don't skip manual or informal steps; they matter. This is your baseline. Assemble a cross-functional group that includes staff who collect and analyze feedback, team members who interact directly with stakeholders, and representatives from technology or operations.
Step 2: Design the After
Fill in the teal AFTER columns as a team. Be specific about which tech tool you'd introduce and what it would change. Describe tech solutions that are appropriate for your context, capacity, and stakeholders' needs. Technology should enhance, not replace, human judgment and relationships.
Step 3: Assess and Decide
Use Section 2 to score the gap between before and after. Then use Section 3 to commit to specific changes or decide to hold off. After mapping the before-and-after comparison, define expected benefits, anticipate key challenges, identify required resources, and outline a realistic implementation timeline.
You can also check out the AI, Tech, and Feedback Loop Frequently Asked Questions to learn more about Large Language Model (LLM) functions, prompting best practices, and tips on which models are best for your feedback practices!