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The Subscription Trap: Finding Better Models for Occasional Digital Value

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I recently attended a start-up event that was buzzing with energy and brilliant ideas. Some ideas were destined for the moon, while others perhaps weren’t, but one pitch really stood out to me. It was about cars — specifically, a service designed to help non-mechanical car owners navigate the often intimidating world of workshops and repairs.

The core concept was simple yet powerful:

to provide expert guidance to ordinary people when dealing with mechanics.

This service would help users to understand diagnoses, validate suggested repairs and costs, and generally demystify the process.

It’s a fantastic idea, offering immense value at a time when people are often feeling vulnerable and confused. Imagine the relief that would come with making informed decisions instead of just taking someone’s word for it, especially when significant money is at stake.

The “win-win-win” potential is clear: the customer gets value and peace of mind, the service provider makes money, and perhaps even the trusted mechanic benefits from clearer communication and trust.

The Infrequent Problem

However, during the pitch, a fundamental challenge emerged.

CodeX
CodeX

Published in CodeX

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AI Rabbit
AI Rabbit

Written by AI Rabbit

AI enthusiast and productivity geek

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