What's an effective AI prompt for drafting a quarterly portfolio-performance summary for a client

The Prompt

Draft a quarterly portfolio summary for [client name].

Performance data: [returns this quarter, vs. benchmark, YTD]
What drove performance: [specific holdings/sectors/market conditions — factual, not speculative]
Any changes made this quarter: [rebalancing, new positions, and why]

Write for a client who checks in quarterly, not daily — contextualize short-term moves against their actual long-term goals rather than over-explaining routine volatility.

Why This Prompt Works

Clients who receive performance context tied to their actual long-term goals, rather than a bare numbers table, are measurably less likely to react to short-term volatility with a panic-driven decision — the “contextualize against long-term goals” instruction is what turns a data report into something that actually supports client behavior during a downturn.

How to Customize It

Supply the real, specific factors that drove this quarter’s numbers rather than letting the model speculate about market causes — those need to be facts the advisor can stand behind. If a rebalancing decision was made partly in response to the client’s own stated goals, tie the explanation back to that conversation so the summary reads as continuity rather than a reaction to noise.

Common Mistakes to Avoid

Don’t let the summary make forward-looking predictions or guarantees about future performance — that’s both inaccurate and, in most jurisdictions, a compliance problem. Also avoid a purely numeric summary with no narrative — clients retain context far better than a table of returns on its own.

Bottom Line

A good quarterly-summary prompt explains real, factual drivers of performance in the context of the client’s long-term plan — and never drifts into predicting what happens next.