Writing: Audience Calibration

Calibration failures come in two forms: over-explanation and under-explanation. Over-explanation treats experts as novices — it defines terms they know, explains concepts they've mastered, and adds context they don't need. This reads as condescending, and the expert reader disengages. Under-explanation treats novices as experts — it uses jargon without definition, assumes mental models the reader doesn't have, and skips the connections that make the logic followable. This reads as inaccessible, and the novice reader gives up.

The critical insight: calibration does not require changing the substance of what is being communicated. The same analysis can serve a technical expert and a non-technical decision-maker if it is correctly calibrated for each. The facts don't change; the entry point, assumed knowledge, vocabulary, framing, and emphasis all do.

The three dimensions of calibration:

• Knowledge calibration: What does this reader already know? What can be assumed, what needs brief context, what needs explanation?
• Stakes calibration: What does this reader care about? The engineer cares about implementation; the product manager cares about user impact; the executive cares about business consequences. Same finding, different emphasis.
• Relationship calibration: Is the reader expert or novice, friendly or skeptical, time-pressed or engaged? Each requires different structural choices.

Your Process