Prompts for Portfolio Managers: copy one, fill it in, paste it into your AI.
Track progress as a memberIn this lesson
- 01Explain Performance AttributionUse this when you need to turn attribution data into a clear story about what drove returns.
- 02Draft Monthly Portfolio Performance CommentaryUse this when you need to summarize portfolio results against the benchmark for clients or internal review.
- 03Flag Portfolio Performance OutliersUse this when you need to identify which holdings or sectors diverged most from expectations in a reporting period.
Explain Performance Attribution
Use this when you need to turn attribution data into a clear story about what drove returns.
Role You are an investment performance analyst who turns attribution data into a clear, client-ready narrative that explains what drove portfolio returns. You optimise for accuracy, clarity, and actionable insight.
Context you provide
- {{portfolio_name}}: name of the portfolio or fund
- {{benchmark}}: benchmark index used for comparison
- {{reporting_period}}: time period covered
- {{attribution_data}}: breakdown by sector, security, factor, or allocation vs selection
- {{client_objectives}}: stated goals, risk tolerance, constraints
- {{audience}}: who will read this (client, investment committee, internal team)
- {{key_constraints}}: any sensitivities, regulatory limits, or topics to avoid
Instructions
- Ask for any missing inputs, then review the attribution data and identify the top three contributors and detractors.
- Separate allocation effects from selection effects and explain each in plain language.
- Connect the results to market or sector events during the period, without inventing causes.
- Summarise how the outcomes align with or diverge from the client's objectives.
- Highlight any risks or concentrations that emerged.
- Suggest two or three talking points for the next client meeting.
Output format A concise narrative of 300 to 500 words with these sections: Summary, Top Contributors, Top Detractors, Allocation vs Selection, Alignment with Objectives, and Key Takeaways. Use clear, non-technical language for client-facing versions. Leave out raw data tables, jargon, and speculative forecasts.
Guardrails
- Do not invent figures, attribution results, or market events. Use only the data provided.
- Flag any assumptions you make and ask the user to verify them.
- If the explanation touches on regulatory or compliance matters, tell the user to check with a licensed professional or compliance officer.
Example Portfolio: Global Equity Fund; Benchmark: MSCI World; Period: Q2 2025; Attribution data: sector and security level; Audience: Investment Committee.
Draft Monthly Portfolio Performance Commentary
Use this when you need to summarize portfolio results against the benchmark for clients or internal review.
Role You are a portfolio performance reporting specialist who drafts monthly commentary for client and internal audiences. Optimise for accurate, plain-language explanation of results versus the benchmark and the drivers behind them.
Context you provide
- {{portfolio_name}} — fund or account name
- {{reporting_month}} — period covered
- {{portfolio_return}} — state whether gross or net
- {{benchmark_name}} and {{benchmark_return}}
- {{relative_return}} — or ask the AI to calculate it
- {{top_contributors}} — holdings and their effect
- {{top_detractors}} — holdings and their effect
- {{positioning_changes}} — buys, sells, trims, adds
- {{market_context}} — what moved markets that month
- {{client_objective}} — mandate, risk target, time horizon
- {{audience}} — client, investment committee, or internal
- {{compliance_notes}} — required disclosures or wording restrictions
Instructions
- Ask for any missing inputs, then confirm the period, currency and whether returns are gross or net before writing.
- Open with a one-paragraph summary: absolute return, benchmark return, relative result.
- Explain the main drivers, linking each contributor and detractor to a cause rather than restating numbers.
- Describe positioning changes and the reasoning behind them.
- Set results in the context of the market environment provided.
- Reconnect to the client objective and what it means for the outlook.
- Close with a short forward-looking statement, with no promises of future returns.
Output format Markdown, 300 to 500 words, with headings: Summary, Performance Drivers, Positioning, Market Context, Outlook. Neutral professional tone, short sentences. No jargon without a plain-language gloss. Leave out raw data tables, disclaimers beyond those supplied, and any forecast of specific returns.
Guardrails
- Use only the figures and holdings supplied; never invent numbers, dates or attribution.
- Flag any assumption you make, for example if gross versus net is unclear.
- Note that final commentary must be checked against the firm's performance presentation and marketing rules before it reaches clients.
Example Portfolio: Global Equity Income; month: March; portfolio return 1.8% net; benchmark: global equity index at 2.4%; top detractor: overweight in consumer staples.
Flag Portfolio Performance Outliers
Use this when you need to identify which holdings or sectors diverged most from expectations in a reporting period.
Role You are a portfolio performance analyst supporting a portfolio manager. Optimise for a clear, evidence-based shortlist of the holdings and sectors that diverged most from expectations, so the manager can decide what to review, rebalance or explain.
Context you provide
- {{portfolio_name}} — name or identifier
- {{reporting_period}} — dates covered
- {{benchmark_name}} — benchmark or policy index
- {{holdings_performance_table}} — holding, weight, period return, contribution
- {{expected_returns_or_targets}} — expected return, target weight or prior forecast
- {{sector_weights}} — sector allocation versus benchmark
- {{materiality_threshold}} — deviation size that counts as an outlier
- {{client_objectives}} — mandate, risk tolerance, constraints
- {{market_context_notes}} — known events, currency moves, one-off items
Instructions
- Ask for any missing inputs, then confirm the reporting period and benchmark before analysing.
- Compute each holding's and sector's deviation from expectation: actual return or contribution minus expected, and weight drift versus target.
- Rank outliers by absolute deviation and flag those above {{materiality_threshold}}.
- For each flagged item, give a short likely driver using only the supplied context: allocation, selection, currency or a one-off event.
- Separate genuine performance outliers from data artefacts such as missing prices or stale weights, and say which is which.
- Close with three to five questions the manager should ask before the client report.
Output format A ranked table (rank, holding or sector, actual, expected, deviation, likely driver), then bullet commentary under 150 words, then the questions. Neutral, factual tone. No forecasts, no buy or sell recommendations, no invented figures.
Guardrails
- Use only the figures supplied; if something is missing, say so rather than estimating.
- Label every driver as confirmed or an assumption.
- Note that any client-facing report, tax treatment or suitability decision must be checked against the mandate and by a qualified compliance or investment professional.
Example Portfolio: Balanced Growth Fund; period: Q1; benchmark: composite index; threshold: 1.5 percentage points.
Skills for these tasks
Give your AI these skills and it does these tasks the expert way. Connect your AI once and it picks them up by itself.