Blog | Why don’t adaptive training suggestions have justifications?

July 23rd 2024

Why don’t adaptive training suggestions come with justifications? Consider this: the software providers want to keep users reliant on their solutions, and they don't feel the need to prove that their workouts are effective.

These adaptive training tools use complex machine learning algorithms to tailor your workout schedule. They claim to optimize your training for the best possible results. But without transparency, you have no way to verify or understand the logic behind their recommendations. This lack of explanation creates a dependency on the software. Users must trust the system blindly because they can't scrutinize or question the rationale behind the changes.

By withholding justifications, these companies avoid accountability. If you can't see the reasoning, you can't challenge or validate the efficacy of their methods. This means they don't have to prove their workouts are genuinely the best for your progress. You become locked into a cycle of trust without verification, making you more likely to continue using their service without questioning its effectiveness.

In essence, the absence of justifications isn't just a minor oversight; it's a strategic choice. It keeps you in the dark, fostering a dependency that benefits the providers more than the users. For a more empowered training experience, demand transparency and explanations for the changes suggested by these adaptive training programs.

We plan to roll out Sandbox Cycling’s adaptive training with reasons for mid August.

Best regards,

Marshall from Sandbox Cycling