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    Forecast Confidence

    Forecast Confidence

    Run 10,000-iteration Monte Carlo sales forecasts from CRM data with confidence intervals and what-if scenarios.

    Updated May 2026
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    One-time purchase

    $12

    · or 60 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Generate P50/P70/P90 revenue confidence intervals for quarterly planning
    • Run what-if scenarios to see the impact of pushed deal dates on revenue
    • terminal, file_read, file_write automation included
    • Includes example output and usage patterns
    • Instant install

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    EXECUTIVE SUMMARY: Q3 Forecast Median (P50): $452,000 P90 Confidence Interval: $380,000 - $515,000

    DISTRIBUTION: $350k [** ] 8% $400k [] 32% $450k [] 41% <-- P50 $500k [***** ] 14% $550k [* ] 5%

    About This Skill

    What it does

    Forecast Confidence transforms raw CRM exports into sophisticated probabilistic revenue projections. Unlike simple weighted pipelines that multiply a deal's value by a flat percentage, this skill executes 10,000 Monte Carlo simulation iterations to account for volatility and risk. It analyzes your deal-level CSV data to provide a range of likely outcomes with hard statistical confidence intervals.

    Why use this skill

    Modern sales leaders need more than a "best guess." By using statistical simulation, this skill helps you answer "How certain are we to hit our number?" with data-backed P-values (P50, P70, P90). It is significantly more reliable than manual prompting because it follows strict mathematical rules for percentile checkpoints, utilizes industry-standard stage defaults when data is missing, and generates ASCII histograms to visualize revenue distribution.

    Supported Tools & Analysis

    • Monte Carlo Engine: Performs 10,000 simulations for high-fidelity distribution.
    • CRM Integration: Supports CSV exports from Salesforce, HubSpot, or custom spreadsheets.
    • What-If Scenarios: Test how changing close dates or deal amounts impacts your quarterly floor and ceiling.
    • Accuracy Scoring: Evaluates individual rep performance and historical stage conversion deltas.

    The Output

    You receive a comprehensive executive report featuring a P50 median forecast, detailed confidence intervals, an ASCII distribution histogram, and data-quality warnings. The output clearly differentiates between your weighted pipeline and the simulated reality.

    Use Cases

    • Generate P50/P70/P90 revenue confidence intervals for quarterly planning
    • Run what-if scenarios to see the impact of pushed deal dates on revenue
    • Score sales rep accuracy based on historical vs. actual outcomes
    • Visualize revenue distribution with ASCII histograms for quick risk assessment

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    Passed automated security review

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    File Scopes

    *.csv
    ./forecasts/**/*.json
    ./forecasts/**/*.csv
    ./simulation-logs/**/*.log

    Forecast Confidence needs terminal access to run Monte Carlo simulations (10,000+ iterations). File read access loads pipeline CSV data. File write access saves forecast results, simulation logs, and text-based visualizations (histogram, confidence curve). No browser, network, or environment variable access required - all simulations run locally.

    Works with Claude Code and Codex. Requires CSV input with pipeline data. No API keys required. Runs Monte Carlo simulations locally.

    Frequently Asked Questions