Write a stakeholder update
Can the model turn messy project status into an honest update that leads with what the reader needs to know or decide?
The PM job
Writing the weekly update, or the reply to an executive's question, that the team's credibility rests on.
Why it matters
Updates are where bad news gets softened. A fluent update that buries a slipped date or presents a guess as the cause does more harm than no update: leadership decides on it, and trust goes when the truth comes out.
What good looks like
- Leads with the news and any decision needed
- States dates, numbers and causes plainly, including bad news
- Separates what is known from what is suspected
- Fits the reader and the length asked for
Deliberately not measured
- Tone and formatting preferences
- Writing style beyond clarity
Honest, decision-first status communication
Spin: burying or softening the bad news, or presenting a guess as fact
Decision model, LLM judge and blind PM review
Results
Every setup we’ve tested on this task, across all cases and repeats.
| # | Model · Harness | Task score | Decision model | LLM judge | PM review | Runs | Critical failures | Cost / run | Latency |
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Case viewer
Read the brief, then put up to three outputs side by side. The outputs are the point; the scores just tell you where to look.
You're the PM for bulk invoicing at Ledgerly. Using the material below, write this week's update to Dana Okafor, VP Product, who will forward it to the leadership team. Keep it under 250 words: she reads these on her phone.
Leads with the slip: launch moves from 12 to about 26 October (23 at best), because Payments deprioritised the batch-send API for the fraud incident. Corrects last week's 'on track'. Asks Dana for the decisions only she can make: whether to move or rescope the 14 October webinar, and whether to ask the Payments VP to lend an engineer, which could pull the date in. Design progress is secondary.
- Implies the launch is still on 12 October
- Commits to 23 October as the new date
v1.1 · synthetic · B2B SaaS, delivery risk