Description
This n8n template demonstrates how to build an AI-powered Market Research Assistant using a multi-agent workflow.
It helps you get a 360-degree view of a product idea or research topic by analysing:
- Customer insights and pain points
- Market size and macro/micro-economic trends
- Competitive landscape and alternatives
The workflow mirrors how product managers and strategy teams conduct discovery — by breaking down research into parallel workstreams and then synthesizing insights into a single narrative.
How it works
- Planner Agent
The main agent receives your research topic as input and defines:
- Research objective
- Key areas of focus (Customer, Market, Competition)
- Assumptions and constraints
- Parallel Research Agents
Based on the planner’s output, three specialist agents run in parallel:
- Customer Insights Agent
Researches public sources such as articles and forums to infer customer behaviour, pain points, and existing tools.
- Market Scan Agent
Analyses macro-economic and micro-economic trends, estimates TAM/SAM/SOM, and highlights key risks and assumptions.
- Competitor Insights Agent
Identifies existing competitors and substitutes and summarises how they are positioned in the market.
- Synthesis Agent
The outputs from all research agents are consolidated and analysed by a synthesis agent, which produces a market discovery memo.
- Final Output
The discovery memo is generated as a document and sent to your email.
How to use
- Trigger the workflow via the chat message node.
- Provide your research topic or product idea, along with optional context such as target market.
- The workflow runs automatically and delivers a structured discovery memo to your inbox.
Setup Steps
- API credentials for:
- Groq or OpenAI (LLM)
- Documentero (document generation)
- A configured Documentero template
- Gmail OAuth or email credentials for delivery of memo