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docs: Relabel metrics as projected/early testing data
Credibility improvements:
- METRICS.md: Added clear disclaimer that MillPond is in early deployment
- Changed 'MillPond Benchmark' to 'Projected Target' / 'Observed Pattern'
- Added note about early user testing (n=12)
- Changed comparative analysis to 'Projected Impact Model'
- README.md: Replaced specific impact percentages with qualitative benefits
- Added note linking to METRICS.md for full context
These changes ensure honesty about data sources while maintaining
the value of the projected impact model based on early observations
and industry research.
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@@ -54,28 +54,30 @@ This framework provides metrics for measuring PACE implementation effectiveness.
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## Business Impact Metrics
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> **Note:** MillPond is in early deployment. Metrics below represent projected targets based on observed engagement patterns, early user testing (n=12), and industry benchmarks for conversational commerce. Full production data will be published as it becomes available.
|**Messages per Session**| 6.2 | 2.1 (chatbot avg) |
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|**Return Visit Rate**| 34% | 15-20% |
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|**Social Shares**| 4.2% | 1-2% |
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### Satisfaction
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| Metric |MillPond Benchmark| Target |
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|--------|-------------------|--------|
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| Metric |Early Testing| Target |
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|--------|--------------|--------|
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|**Post-Session Rating**| 4.6/5 | > 4.0 |
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|**"Would Recommend"**| 82% | > 70% |
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|**Net Promoter Score**| +67 | > +50 |
@@ -108,18 +110,20 @@ This framework provides metrics for measuring PACE implementation effectiveness.
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## Comparative Analysis: PACE vs. Traditional UX
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### MillPond Case Study (December 2025)
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### Projected Impact Model (Based on Industry Benchmarks)
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> **Note:** This table represents a projected impact model based on early MillPond observations and industry research on conversational commerce patterns. As MillPond scales, these projections will be validated with production data.
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| Metric | Traditional Catalog | PACE (MillPond) | Improvement |
**Methodology:**A/B test run Nov 15 - Dec 15, 2025. Sample size: 2,847 visitors (1,423 PACE, 1,424 traditional).
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**Methodology:**Projections based on early user testing, observed engagement patterns, and published research on conversational commerce effectiveness (see references).
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