3.5 The PMM Trust Board

The Trust Board is a set of six personas used to pressure-test content before it goes anywhere near a publish button. Not abstract demographic buckets — actual people with names, backstories, job titles, specific anxieties, and specific things they’re hoping to learn.

Why It Exists

The common failure mode: you write something, read it back, think “this is good,” share it, and get back a pile of disparate “WTF is this?” feedback with no way to reconcile it. The Trust Board puts other people in the room as you write, so you catch the mismatch before it ships instead of after.

Building the Personas

AI does most of the construction work here — heavily slanted toward the AI side of Humans + AI. The key finding: a vague persona (“mid-career marketer, wants to grow”) is useless. Specificity is what makes it work — “seven years in PMM, genuinely good at it, starting to feel like execution work is eating her alive while AI tools eat into the edge she thought she had” gives you something an AI can actually react as.

Each board member has: a name and a face, a specific job situation and company stage, the exact question they’re showing up hoping to answer, and the thing that would make them bounce immediately.

How It’s Used

Run a draft through each persona’s lens and get a structured review per persona: relevance (would they stop scrolling?), resonance (does the framing feel written for them?), actionability (can they do something with this today?), and a verdict — strong fit, partial fit, or not the target for this piece.

That last category matters. If a piece gets “strong fit” from all six personas, it’s probably written so generically it didn’t say anything of value to any of them. A piece that lands strongly with two personas and softly with the rest is doing its job — it hit who it was aiming for.

What It Catches

• The assumed baseline — content that presupposes a level of knowledge the target reader doesn’t have yet.
• The wrong frame for the right topic — technically correct content framed for the wrong context (team rollout vs. solo practitioner, for example).
• Implicit seniority bias — content that defaults to the perspective of someone who’s already formed opinions, leaving newer readers behind.
• Technically interesting but emotionally irrelevant — content that’s conceptually sound but doesn’t connect to what the reader is actually grinding against right now.

What AI Can and Can’t Do Here

AI does the heavy simulation work — applying each persona’s lens consistently, at speed, across six perspectives without losing the thread. What it can’t do: tell you whether the emotional resonance is actually there, or whether a piece has the kind of voice that earns trust in the first place. The Trust Board is a pressure-test, not a rendered judgment. The final call on “does this sound like me, and does it do what I need it to do” stays a human call.

Build Your Own

Start with an outline of the kind of people you’d go to in real life for a gut check. Give them names, specific enough job situations that you can hear how they’d react to a sentence, and build them from your real audience — conversations you’ve had, comments you’ve gotten, customers you’ve talked to. The more specific, the more useful. Then the next time you think “this is good,” run it past them first. They’ll tell you things you don’t want to hear. That’s the point.

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