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Multi-agentProduct Development & LaunchAdvancedFree

User Feedback & Iteration System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready user feedback & iteration system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryProduct Development & Launch
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Feedback Collection System Designer
· 02 ·
Feedback Analysis Engine
· 03 ·
Iteration Planner
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{product_type}}
Product type
Product type
Mega Prompt Library with 3000+ prompts
{{current_feedback_collection_method}}
Current feedback collection method
Current feedback collection method
User Feedback & Iteration System example context
{{volume_of_feedback_per_month}}
Volume of feedback per month
Volume of feedback per month
User Feedback & Iteration System example context
{{top_3_recurring_complaints_or_requests}}
Top 3 recurring complaints or requests
Top 3 recurring complaints or requests
User Feedback & Iteration System example context
THE AGENTS

The 3-step sequence.

01
AGENT · FEEDBACK COLLECTION

Feedback Collection System Designer

GOAL OF THIS STEP

Design a multi-channel feedback collection system. Define 5 feedback touchpoints: (1) In-product (NPS survey trigger and timing), (2) Post-task micro-survey (1 question after completing a key action), (3) Customer support ticket analysis (tagging taxonomy for issues), (4) User interview program (frequency, participant selection, incentive), (5) Churn survey (exit questions when a user cancels). For each: the tool to use, the question(s) to ask, and the data to capture.

EXPECTED OUTPUT

5 feedback touchpoints: tool + questions + data captured for each

agent-01-feedback-collection-system-des.md
### Input
Product type, current method, volume

### Task
Design a multi-channel feedback collection system. Define 5 feedback touchpoints: (1) In-product (NPS survey trigger and timing), (2) Post-task micro-survey (1 question after completing a key action), (3) Customer support ticket analysis (tagging taxonomy for issues), (4) User interview program (frequency, participant selection, incentive), (5) Churn survey (exit questions when a user cancels). For each: the tool to use, the question(s) to ask, and the data to capture.

### Output
5 feedback touchpoints: tool + questions + data captured for each
02
AGENT · FEEDBACK ANALYSIS

Feedback Analysis Engine

03
AGENT · ITERATION PLANNER

Iteration Planner

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Feedback Collection System Designer

5 feedback touchpoints: tool + questions + data captured for each

Feedback Analysis Engine

Tagging taxonomy + weekly review ritual + signal vs. noise threshold + user segment feedback mapping

Iteration Planner

3 complaint analyses: root cause + 2 solution options + effort + impact + recommendation + hypothesis

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