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    Forecast Confidence

    Forecast Confidence

    by JustHandled Labs

    Run a 10,000-iteration Monte Carlo forecast on your pipeline CSV to get P50/P70/P90 revenue confidence intervals, an ASCII distribution histogram, and what-if scenarios for slipped deal dates. Answers 'how likely are we to hit the number?' instead of a flat weighted-pipeline guess.

    Updated Jun 2026
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    $12

    · or 60 credits

    30-day refund guarantee

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    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

    Sample input

    Run a 10,000-iteration Monte Carlo forecast using the Q3 pipeline.csv file and provide a histogram with P50 and P90 confidence intervals.

    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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    Security Scanned

    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.

    Tags

    sales-forecasting
    monte-carlo
    data-analysis
    crm
    revenue-operations

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

    Creator

    JustHandled Labs

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

    Frequently Asked Questions

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