Problem Detail

Live Events as Product-Market Fit Validation

Andy Puddicombe & Rich Pierson Lasting
Durability
This problem won't go away
Verified
Demand Evidence
Verified demand — people are actively paying to solve this
Buildable Now
Buildability
You could start building this today
Solution: Partial
Solution Status
Some attempts exist but they fall short

The Problem

The specific gap between what exists and what should exist.

Most app businesses build first, then discover whether demand exists. Andy and Rich spent 2+ years running live meditation events with detailed feedback collection before building their app — treating events as expensive user research rather than a standalone business.

What People Actually Need

In the buyer's own words — what job are they trying to get done?

Show me exactly what people want from meditation instruction before I build a scalable product, even if the validation method doesn't scale itself.

How Real Is This?

Evidence that people would actually pay to solve this.

Verified demand — people are actively paying to solve this

200 people consistently paid for and attended 8-hour meditation events, demonstrating strong behavioral commitment to the content.

Will It Last?

Is this a permanent structural issue, or riding a temporary wave?

This problem won't go away

The need to validate demand before building expensive products is permanent. The specific validation methods change, but the principle is structural.

Why Hasn't Anyone Solved It?

Existing solutions, gaps, and what's blocking progress.

Some attempts exist but they fall short

Most validation methods are surveys or interviews. Live events provide behavioral data from people actually paying and spending 8 hours of their time.

Barriers Blocking Progress
💰 Cost barrier ten thousand pounds per event
Each validation event cost £10K+ in venue, materials, and time — expensive research that most startups couldn't afford.
Time barrier eight hour commitment from attendees
Events required full-day commitment from participants, limiting sample size but ensuring serious interest.
🔗 Coordination barrier venue booking limits iteration speed
Premium venues like BAFTA required advance booking, slowing the feedback loop compared to digital experiments.

What Would You Build?

How ready is this problem for someone to start building a solution?

You could start building this today

Events are expensive but straightforward to organize. The insight is using them for research rather than revenue generation.

Why Would It Win?

The structural competitive advantages a solution could possess.

Competitive Advantages
Proprietary data from behavioral validation sessions
What Cost Could Disappear?

Each event cost £10K+ in venue fees plus content creation time. Digital product validation through events provided learning at high upfront cost but near-zero marginal cost for applying insights.

What Assumption Is Being Challenged?

Product validation should be cheap and fast to maximize iteration speed

The Human Angle

What this reveals about something humans consistently do or need.

Commitment behavior (time + money spent) predicts usage behavior better than stated preferences or survey responses.

From the Source

The speaker's actual words that surfaced this opportunity.

we got feedback cards that were very detailed that we made people fill out they were allowed to leave they weren't allowed to leave until they filled them out

Deep Dive

Technical analysis, transcript context, and lens evaluations.

Lenses Triggered
Jobs to be Done 1000 True Fans Constraint Inversion
Topic Tags
manual_process_ripe_for_automation
manual_process_ripe_for_automation
Running live events to validate app content was manually intensive but provided behavioral data that surveys couldn't capture.
domain_transplant_opportunity
domain_transplant_opportunity
Using expensive live experiences to validate scalable products could work for fitness programs, educational content, therapy approaches, or skill training.

Semantically Similar

Items closest in vector space — structural overlap detected across the corpus.

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