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Multi-agentProduct Development & LaunchAdvancedFree

Product Discovery & Requirements System.

4 agents, 4 deliverables.

Take a product idea from strategy to user experience, technical planning, build phases, and launch readiness.

WORKFLOW META
Agents4
Total tokens (avg)~500
Run time12 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryProduct Development & Launch
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
User Research Synthesizer
· 02 ·
Requirements Architect
· 03 ·
Technical Scoping Agent
· 04 ·
Success Metrics Definer
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_idea_problem_to_solve}}
Product idea problem to solve
Product idea problem to solve
a searchable prompt library website
{{target_user}}
Target user
Target user
beginner AI users who need copy-paste workflows
{{budget_for_product_development}}
Budget for product development
Budget for product development
Rs 50,000
{{timeline_to_first_version}}
Timeline to first version
Timeline to first version
8 weeks, 6 months
THE AGENTS

The 4-step sequence.

01
AGENT · USER RESEARCH

User Research Synthesizer

GOAL OF THIS STEP

Design a rapid user research plan to validate the product before building. Define: the 5 critical questions to answer (riskiest assumptions), the research method for each (user interview / survey / observation / competitor analysis), the sample size, and a 5-question user interview script. Identify the single biggest risk: are we solving a real, recurring problem that users would pay to fix?

EXPECTED OUTPUT

5 critical questions + research method per question + sample size + 5-question interview script + #1 risk

agent-01-user-research-synthesizer.md
### Input
Product idea, target user, timeline

### Task
Design a rapid user research plan to validate the product before building. Define: the 5 critical questions to answer (riskiest assumptions), the research method for each (user interview / survey / observation / competitor analysis), the sample size, and a 5-question user interview script. Identify the single biggest risk: are we solving a real, recurring problem that users would pay to fix?

### Output
5 critical questions + research method per question + sample size + 5-question interview script + #1 risk
02
AGENT · REQUIREMENTS ARCHITECT

Requirements Architect

03
AGENT · TECHNICAL SCOPING

Technical Scoping Agent

04
AGENT · SUCCESS METRICS

Success Metrics Definer

HOW TO RUN

Three steps. 12 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 4 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.

User Research Synthesizer

5 critical questions + research method per question + sample size + 5-question interview script + #1 risk

Requirements Architect

3 JTBD statements + MVP feature list + non-functional requirements + MoSCoW priority table

Technical Scoping Agent

Tech stack recommendation + build vs. buy decisions + architecture description + risk-adjusted MVP timeline

Success Metrics Definer

1 North Star metric (from 3 candidates) + 5 supporting metrics + baseline plan + W1/M1/M3 benchmarks

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The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

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