AI for Consumer Insights
Find out what customers actually want — before you build, launch, or change a product.
A hands-on research course that teaches non-technical professionals to measure what buyers value, find the right target segments, and estimate the business opportunity. You work with the same methods research teams use — conjoint analysis, regression, market simulation — run in Excel and no-code AI tools. Every class builds toward a complete consumer insights report for a real product.
Who it's for — Product managers, marketers, entrepreneurs, and business analysts with no research or statistics background — anyone who needs to validate a product idea, set pricing, or understand what customers want.
- Define and pressure-test a product idea using Amazon's 5Q framework and a buyer persona
- Design a customer survey that produces statistically meaningful results
- Run a conjoint analysis and produce a utility function that ranks what buyers value most
- Derive willingness to pay for any product variant from conjoint data
- Segment customers by preference and demographics using AI-assisted clustering
- Size a market: TAM, SAM, customer lifetime value, break-even, and market-share simulation
- Visualize and present findings in a clear, decision-ready format
You leave with A complete consumer-research workflow from product definition to market sizing (AI assists the analysis, not an agent build).
Every Enorasi student leaves with their own AI agent — built to their own custom spec — and uses it in their daily work. Whatever your role, you design it to your own custom spec and put it to work.
How you build them, class by class
Product Ideas and Statistics
- The 5Q framework: who is the customer, what is the problem, what is the right solution
- Product-market fit: the 40% 'very disappointed' benchmark
- Statistics primer: p-value, R², regression — run live in Excel
- Homework: 5Q write-up, buyer persona, and AI-powered competitor deep-dive
Conjoint Analysis and Customer Segmentation
- Conjoint analysis: present realistic tradeoffs to infer what buyers truly value
- Run the analysis in Excel: dummy variables, regression, utility weights
- Customer segmentation: extend the survey with demographics, cluster with K-means
- Use ChatGPT to generate and run segmentation code in Google Colab — no coding required
Market Sizing and Data Visualization
- TAM, SAM, customer lifetime value, break-even in units and dollars
- Derive willingness to pay from conjoint utility; model it as a normal distribution
- Market simulation: consumer surplus, quantity sold, revenue, market share
- Visualize results: partworth charts, histograms, heatmaps, infographics
Your hands-on capstone: a complete consumer insights report for a real product — a 5Q-grounded product definition, a conjoint analysis with utility function, a customer segmentation map, a market-size model with TAM/SAM and break-even, and a short, visually clear presentation with product recommendations. It is the work your certificate is based on, and a concrete research artifact you can show a hiring manager or leadership team.
Your certificate is based on what you build — not attendance.
Ready to build your AI agent?
A small, high-quality cohort for leaders — fully online, hands-on from minute one.