---
schema_version: "newruntime-agent-readable-v0.1"
type: "raw_signal"
id: "tg-2620"
slug: "ai-product-okrs-measure-result-adoption"
title: "AI product OKRs should measure result adoption"
description: "Outcome metrics such as accepted work, overrides, completion, and retained use are more useful than model activity counters."
observed_at: "2026-07-05"
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."
novelty: "notable"
verification_level: "source-inspected"
signal_type: "field-report"
evidence_kind: "mixed"
status: "published"
telegram_message_id: 2620
telegram_url: "https://t.me/qwgai/2620"
topics: ["ai-product","product-metrics","human-feedback"]
entities: ["Jeff Gothelf"]
related_patterns: []
source_urls: ["https://jeffgothelf.com/blog/how-to-write-okrs-for-an-ai-product"]
import_batch: "telegram-2026-07-17-v1"
routes: {"html":"https://newruntime.com/signals/ai-product-okrs-measure-result-adoption/","markdown":"https://newruntime.com/signals/ai-product-okrs-measure-result-adoption.md","json":"https://newruntime.com/signals/ai-product-okrs-measure-result-adoption.json"}
source_format: "telegram-export-normalized-json"
---

# AI product OKRs should measure result adoption

## 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.

## Provenance

Normalized from QWG AI Telegram message 2620. The original Russian-language record remains available at https://t.me/qwgai/2620.