Product Ideas for OpenAI: Growth, Model Improvement & Talent Discovery

Submitted by: RAJ
Purpose: Product ideas for consideration

Introduction

I have three ideas that I believe could benefit OpenAI by improving user conversion, helping discover problems in AI systems, and creating new ways to identify talented people interested in AI.

These are suggestions rather than fully developed business plans, but I believe they are worth testing through small experiments.


  1. 7–14 Day Premium Trial

Idea

Give selected new users a 7–14 day trial of premium features.

The purpose would be to let users experience the additional capabilities before deciding whether to subscribe.

Why it could work

Some users may not subscribe because they don’t understand how much value premium features can provide.

After using the features themselves, they may be more likely to become paying subscribers.

Possible experiment

Test different groups:

  • Group A: no trial
  • Group B: 7-day trial
  • Group C: 14-day trial

Compare:

  • Trial-to-paid conversion
  • Retention
  • Usage
  • Revenue
  • Cost of providing the trial

This would determine whether the trial actually improves the business rather than simply increasing usage.


  1. AI Bug Hunter / Find the Mistake Challenge

Idea

Create a program where users can find and report genuine mistakes in AI responses.

Examples could include:

  • Incorrect factual claims
  • Mathematical mistakes
  • Reasoning failures
  • Coding errors
  • Inconsistent answers
  • Reproducible weaknesses in model behavior

Valid discoveries could earn points, recognition, prizes, or other rewards depending on their severity and usefulness.

Why it could work

It creates a feedback loop:

More testing → more errors discovered → better reports → model/product improvements

It would also encourage people to actively test the system rather than simply use it.

Important design principle

Not every mistake should receive the same reward.

A minor typo could receive little or no reward, while a difficult, reproducible, systematic model failure could receive a substantially higher reward.

Security vulnerabilities should remain handled through the appropriate security disclosure process.


  1. AI Skills Entrance Exam for Job Opportunities

Idea

Create an optional AI skills entrance exam for people interested in AI-related employment.

Instead of relying only on degrees, CVs, or previous experience, candidates could demonstrate their ability through a standardized assessment.

Possible exam areas

Depending on the role, the assessment could test:

  • AI fundamentals
  • Logical reasoning
  • Coding
  • Problem solving
  • Prompt design
  • AI evaluation
  • Detecting model errors
  • Building AI workflows
  • Product thinking

Example hiring pathway

Entrance exam → practical task → human review/interview → normal hiring decision

The exam would not automatically guarantee employment. It would give capable people another way to demonstrate their skills and potentially reach the hiring process.

Why I think this matters

There are many people who understand AI and can solve problems but may not have a traditional background or impressive résumé.

A skills-based entrance route could help discover talent that traditional recruiting might overlook.


Overall Concept

These three ideas could work together:

Premium Trial

Give people a reason to experience advanced AI.

AI Bug Hunter

Give people a reason to test and improve AI.

AI Skills Exam

Give talented people a way to demonstrate their abilities.

Together, they could create a cycle:

More users → more experimentation → more feedback → better AI → more opportunities for talented users.

I would recommend testing each idea as a small, measurable experiment before attempting a large-scale launch.

Thank you for considering these suggestions.

— RAJ