---
title: "For designers: customer feedback for design | Annsa"
product: annsa
url: /designers
canonical_url: "https://annsa.ai/designers"
last_updated: 2026-08-04
type: audience
related:
  - /feedback
  - /product-leaders
summary: "See who asked before you decide. The customer's real words, accounts and friction stay attached, so you open the canvas with the context intact."
mcp_server: https://app.annsa.ai/mcp
disambiguation: "Annsa (annsa.ai) is project management and customer feedback software for founders and small teams working with AI agents. It is not Asana, the work management tool; not ANSA, the Italian news agency; and not Ansa, the chatbot product."
---

> For agents: connect to the Annsa MCP server at https://app.annsa.ai/mcp to give every agent one shared plan. Setup guide: https://annsa.ai/docs/quick-start. Index of every page: https://annsa.ai/llms.txt.

# For designers: customer feedback for design | Annsa

> See who asked before you decide. The customer's real words, accounts and friction stay attached, so you open the canvas with the context intact.

For designers

## See who asked before you decide.

Every item shows who asked, their exact words and what your agents found.

[Try Annsa](https://app.annsa.ai/signup)

What changes

## Between four agents and a Slack full of feedback, the customer's own words get lost before you open the canvas.

## Know what to work on next, every morning.

Customer messages, your roadmap and what your agents found, ranked in one list with the reason for each.

## The people who asked hear when it ships.

When a job ships, Annsa drafts a note to each person who asked (a Share Back). You send it.

## Know what shipped this week, and whether it worked.

What changed, who asked for it and what happened next, in one weekly summary you can share.

## Their words, not your memory of them.

Before you sketch the new onboarding, you open the item: 6 people asked for it. You read what each one wrote, in their own words, next to what an agent found when it hit the same screen. You design for the people who asked, not for the loudest message this week.

## You make the call.

Annsa ranks and suggests. The design call is yours, and the reason you made it stays with the job for the next person, or agent, who picks it up.

01

Evidence lands

Customers · roadmap · ideas · agent findings

02

Annsa ranks it

Who asked · what they said

03

You choose

The reason stays with it

04

You or your agents write the spec

Claude Code · Cursor · Codex · Grok

05

You learn what worked

Checked · decided · ruled out

The product

## See the loop inside the product.

Priorities ranked in the middle, the spec they became on the right, every number tracing back to the customers who asked.

![Annsa ranking priorities by the number of customers behind each.](https://annsa.ai/product-shots/priorities.webp)

## Questions people ask.

### Can I read what customers wrote?

Yes. Every item shows who asked and their exact words, not a rewrite.

### Where does the feedback come from?

Wherever your customers already talk: Slack, Intercom, CSV, Google Sheets, Google Drive, call transcripts, in-product surveys, manual entry and an API. See /docs/importing-feedback.

### What happens after the design ships?

Annsa drafts a note to each person who asked (a Share Back), and you send it. Auto-send is off by default. See /docs/share-back.

### How do I set it up?

Start with /docs/quick-start, then /docs/importing-feedback. If you build with agents, connect them with /docs/connect-claude-code, /docs/connect-cursor, /docs/connect-codex and /docs/connect-grok.

## Keep reading

- [Product builders in the weeds](https://annsa.ai/founders)
- [Customer feedback tool](https://annsa.ai/feedback)
- [AI for product managers and leaders](https://annsa.ai/product-leaders)

## Design for the people who asked.

Begin with one agent and the work that matters next.

- [Try Annsa](https://app.annsa.ai/signup)
- [See pricing](https://annsa.ai/pricing)

## Related pages

> For AI agents: the pages that follow this one on annsa.ai. The full index is https://annsa.ai/llms.txt.

- [Customer feedback tool: who asked, what shipped](https://annsa.ai/feedback)
- [AI for product managers and leaders](https://annsa.ai/product-leaders)

If anything on this page is wrong or missing, tell us: https://annsa.ai/contact