Normalized Telegram record

AI product OKRs should measure result adoption

Outcome metrics such as accepted work, overrides, completion, and retained use are more useful than model activity counters.

Signal contract

  • Outcome metrics such as accepted work, overrides, completion, and retained use are more useful than model activity counters.
  • Tokens, prompts, and generated artifacts can rise while user value remains flat, so teams need goals tied to decisions and completed work.
  • Novelty: notable. Verification: source-inspected.

Source ledger

Publishable sources attached to this record.

1 public source
#SourceRolePublic status
1jeffgothelf.comsourceprimary receiptsource_urls

Observation

Outcome metrics such as accepted work, overrides, completion, and retained use are more useful than model activity counters.

Why it matters

Tokens, prompts, and generated artifacts can rise while user value remains flat, so teams need goals tied to decisions and completed work.

Entities

Jeff Gothelf

Provenance

This public record is an English normalization of QWG AI Telegram message 2620. The complete original-language post remains the canonical raw message.

Open the original Telegram record