Lesson 2.6: Validating Your AI Offering with Real Users

Lesson 2.6: Validating Your AI Offering with Real Users

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Main Lesson Content

Before you scale or spend on ads, you need to test whether people will actually pay for your AI-enhanced product or service.

This lesson shows how to use real feedback from real users to improve your offer, set the right pricing, and avoid building something nobody wants.

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Learning Outcomes

By the end of this lesson, learners will be able to:

• Design low-cost experiments to test an AI offering
• Gather and interpret early user feedback
• Iterate based on real market signals, not assumptions

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Validation Tactics That Work

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Minimum Viable Offering (MVO)

Don’t launch a perfect product — launch a working sample:

• 5-slide pitch deck
• 2-day AI newsletter series
• 1 custom voice sample
• 1 downloadable template

This avoids perfection paralysis and gets real feedback early.

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Real Personas & Examples

Ishita – Notion Template Creator

Ishita offered her “AI Planner for Freelancers” template to her 300-subscriber list with a ₹299 pre-order link.

30 people paid. That validated the idea before she built the final version.

Anand – Faceless Video Maker

Anand created 3 sample videos using Pictory and posted them on Reddit and LinkedIn.

He asked for feedback and pricing suggestions — 2 leads turned into paid gigs.

Sana – AI Coach for Moms

Sana offered free 15-min “AI For Parenting” consults via WhatsApp.

After 10 sessions, she bundled insights into a sellable video course.

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Activities & Tool List

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Activity

Choose one idea you’re planning to launch.

Validate using one of these:

• Create a Typeform waitlist
• Run a free beta with 5 users
• DM 10 people with a sample
• Offer a ₹99 presale option

Document what you learned, and what needs changing.

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AI Tools Mentioned

• ChatGPT
• Pictory
• Gumroad
• Notion
• Canva
• Typeform
• Carrd
• WhatsApp

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Downloadable Resource: Validation Tracker Template