Pipeline reporter free

Pipeline Reporter

Generate a Markdown pipeline report from a CRM export CSV containing deal or opportunity rows. The report must include pipeline summary, forecast by stage, and rep performance.

Accepted Input

Accept a CSV file or pasted CSV data with opportunity-level records.

Standard column mapping:

• deal_name: opportunity or deal name
• amount: deal value
• stage: current sales stage
• owner: rep, account executive, or deal owner
• close_date: expected close date

Common aliases may be mapped automatically:

Standard Field	Acceptable Aliases
deal_name	deal, opportunity, opportunity_name, name, account_name
amount	value, deal_value, arr, mrr, revenue, forecast_amount
stage	pipeline_stage, sales_stage, status, deal_stage
owner	rep, sales_rep, account_executive, ae, deal_owner
close_date	expected_close_date, forecast_close_date, close, close_dt

If the CSV uses different names, infer only obvious mappings and show the mapping used before the report.

Missing Columns

Handle missing columns gracefully:

• If amount is missing, ask the user for the value column before calculating totals or weighted pipeline.
• If stage is missing, ask the user for the stage/status column before forecasting.
• If both amount and stage are present but owner is missing, continue with pipeline and stage analysis, then ask whether to provide the owner column for rep performance.
• If deal_name is missing, continue with row counts and aggregate analysis using row numbers as deal identifiers.
• If close_date is missing, continue with current pipeline analysis and label date-based forecast sections as unavailable.
• If multiple plausible columns exist for a required field, ask the user to choose the mapping instead of guessing.

Do not fabricate missing values. Make partial reports explicit with a short Missing / Assumed Fields section.

Stage Probabilities

Use explicit probability weights for weighted pipeline. If the CSV includes a probability column such as probability, probability_percent, win_probability, or weighted_probability, use it after normalizing percentages to decimals.

If no probability column exists, apply these default stage weights:

Stage Contains	Probability
closed won, won	100%
commit, contract, legal, procurement, negotiation	80%
proposal, quote, pricing	60%
qualified, solution, demo, evaluation, technical validation	40%
discovery, needs analysis, meeting scheduled	25%
prospecting, lead, new, identified	10%
closed lost, lost, disqualified	0%
Unknown or unmatched stage	0% until the user confirms a probability

For unknown stages, include the stage in Needs Confirmation and ask the user for its probability if a precise weighted forecast is required.

Calculations

Parse amount as currency/number by removing currency symbols, commas, and whitespace. Treat blank or unparsable amounts as missing and exclude them from financial totals, while counting the affected rows.

Weighted amount formula:

weighted_amount = amount * probability

Where probability is a decimal from 0 to 1. Examples:

• $10,000 at 60% = $6,000
• 10000 at 0.6 = $6,000
• Closed won = amount * 1.0
• Closed lost = amount * 0.0

Required report calculations:

• Total raw pipeline: sum of valid amount
• Total weighted pipeline: sum of weighted_amount
• Deal count: total rows and valid financial rows
• Average deal size: total raw pipeline / valid financial rows
• Stage forecast: count, raw amount, weighted amount, average deal size, share of weighted pipeline by stage
• Rep performance: count, raw amount, weighted amount, average deal size, stage mix, close-date risk when close_date exists

When close_date exists, group forecast by month or quarter if useful. Flag overdue open deals where close_date is before the current date and the stage is not closed won/lost.

Workflow

1. Read the CSV with a real CSV parser when tool access is available; otherwise carefully parse pasted tabular data.
2. Detect and display the column mapping.
3. Check for missing required fields and either ask for missing mappings or proceed with an explicit partial-report note.
4. Normalize amounts, stages, owners, dates, and probability values.
5. Assign stage probabilities from a probability column or the default table.
6. Calculate raw and weighted pipeline.
7. Produce the Markdown report.
8. Run quality checks before returning.

Output Format

Return a Markdown report:

# Pipeline Report

## Column Mapping

| Standard Field | CSV Column | Status |
|---|---|---|
| deal_name | <column or unavailable> | <mapped / missing / inferred> |

## Executive Summary

- Total deals: <count>
- Valid financial deals: <count>
- Total raw pipeline: $<amount>
- Total weighted pipeline: $<amount>
- Average deal size: $<amount>
- Largest stage by weighted pipeline: <stage>
- Top rep by weighted pipeline: <owner or unavailable>

## Forecast by Stage

| Stage | Probability | Deals | Raw Pipeline | Weighted Pipeline | Weighted Share |
|---|---:|---:|---:|---:|---:|

## Rep Performance

| Owner | Deals | Raw Pipeline | Weighted Pipeline | Avg Deal Size | Notes |
|---|---:|---:|---:|---:|---|

## Close-Date Outlook

<Monthly/quarterly forecast, overdue deal notes, or "Close-date analysis unavailable because close_date was not provided.">

## Risks and Follow-Ups

- <Missing fields, unknown stages, overdue deals, concentration risks, or data quality issues.>

Keep the report concise and practical. Prefer tables for summary data and bullets for recommendations.

Quality Checks

Before returning, verify:

• The report shows the column mapping used.
• Missing columns are handled with a prompt or an explicit partial-report note.
• Weighted pipeline uses amount * probability.
• Probability values are decimals internally and percentages only in display.
• Closed won is weighted at 100% and closed lost/disqualified at 0%.
• Unknown stages are not assigned arbitrary probabilities.
• Rep performance is included when owner is available, and gracefully marked unavailable when it is not.
• The final answer includes pipeline summary, forecast by stage, and rep performance unless the CSV is missing fields required for those sections.