# Forecast Accuracy Report - [Period]

## Report Details
- **Prepared By:** [Name]
- **Report Date:** [YYYY-MM-DD]
- **Period Analyzed:** [Start Period] to [End Period]
- **Periods Covered:** [N] periods

---

## Executive Summary

| Metric | Value | Rating | Trend |
|--------|-------|--------|-------|
| MAPE | _% | | |
| Weighted MAPE | _% | | |
| Forecast Bias | _% | | |
| Bias Direction | | | |

**Accuracy Rating:**
- Excellent (<10%) / Good (10-15%) / Fair (15-25%) / Poor (>25%)

**Key Finding:** [1-2 sentence summary of forecast accuracy status]

---

## Period-by-Period Analysis

| Period | Forecast | Actual | Variance | Error % | Bias |
|--------|----------|--------|----------|---------|------|
| | $_ | $_ | $_ | _% | Over/Under |
| | $_ | $_ | $_ | _% | Over/Under |
| | $_ | $_ | $_ | _% | Over/Under |
| | $_ | $_ | $_ | _% | Over/Under |
| | $_ | $_ | $_ | _% | Over/Under |
| | $_ | $_ | $_ | _% | Over/Under |

---

## Bias Analysis

### Overall Bias
- **Direction:** [Over-forecasting / Under-forecasting / Balanced]
- **Bias Magnitude:** _%
- **Over-forecast Periods:** _ of _
- **Under-forecast Periods:** _ of _
- **Bias Ratio:** _ (1.0 = always over, 0.0 = always under, 0.5 = balanced)

### Interpretation
[What does the bias pattern tell us about our forecasting process? Is it systematic or random?]

### Root Cause
[Identify the primary drivers of bias: optimistic deal assessment, poor stage qualification, sandbagging, late-arriving deals, etc.]

---

## Trend Analysis

### Accuracy Trend
- **Direction:** [Improving / Stable / Declining]
- **Early Period MAPE:** _%
- **Recent Period MAPE:** _%
- **MAPE Change:** _% (positive = worsening, negative = improving)

### Trend Chart (Text)
```
Period    Error%    Trend
Q1        __%      ████████
Q2        __%      ██████████
Q3        __%      ██████
Q4        __%      ████████████
```

---

## Category Breakdown

### By Rep

| Rep | Forecast | Actual | Error % | Bias | Rating |
|-----|----------|--------|---------|------|--------|
| | $_ | $_ | _% | | |
| | $_ | $_ | _% | | |
| | $_ | $_ | _% | | |
| | $_ | $_ | _% | | |

**Overall Rep MAPE:** _%

### By Segment

| Segment | Forecast | Actual | Error % | Bias | Rating |
|---------|----------|--------|---------|------|--------|
| Enterprise | $_ | $_ | _% | | |
| Mid-Market | $_ | $_ | _% | | |
| SMB | $_ | $_ | _% | | |

**Overall Segment MAPE:** _%

### By Product (if applicable)

| Product | Forecast | Actual | Error % | Bias | Rating |
|---------|----------|--------|---------|------|--------|
| | $_ | $_ | _% | | |
| | $_ | $_ | _% | | |

---

## Recommendations

### Immediate Actions (This Quarter)

1. **[Action]** -- [Why and expected impact]
2. **[Action]** -- [Why and expected impact]
3. **[Action]** -- [Why and expected impact]

### Process Improvements (Next Quarter)

1. **[Improvement]** -- [Implementation plan]
2. **[Improvement]** -- [Implementation plan]

### Coaching Focus Areas

| Rep/Team | Issue | Coaching Action | Target |
|----------|-------|-----------------|--------|
| | | | |
| | | | |

---

## Forecast Methodology Notes

### Current Methodology
[Describe the current forecasting methodology: weighted pipeline, commit/upside categories, AI-assisted, etc.]

### Methodology Changes This Period
[Any changes to the forecasting process or methodology during the reporting period]

### Data Quality Issues
[Note any data quality issues that may affect accuracy: missing close dates, inconsistent stage definitions, CRM hygiene gaps]

---

## Next Steps

| # | Action | Owner | Due Date |
|---|--------|-------|----------|
| 1 | | | |
| 2 | | | |
| 3 | | | |
