Log every lost deal
Tag each lost deal with its real primary reason as you go.
LOSS PATTERN ANALYSIS
Lost Deal Learning Log
Enter how many lost deals fall into each loss-reason category, and get the dominant loss reason plus a pattern-confidence score based on sample size.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Enter category totals
Price, features, timing, trust, or lost to a named competitor.
See your dominant pattern
Get the dominant reason and how confident that pattern is given your sample size.
Continue learning: How to validate a SaaS idea without a full product · A market validation framework for startups
Frequently asked questions
Why does sample size affect confidence so much?
Five lost deals with three on 'price' looks dramatic but is easily noise. Twenty or more lost deals with a clear majority reason is a far more trustworthy signal.
What if losses are spread evenly across reasons?
That's a real finding too — it usually means there isn't one dominant fix, and you should look at combinations of reasons or your ICP targeting instead.
Should I ask the prospect directly for the reason?
Yes, whenever possible — a direct, specific answer is far more reliable than sales-team assumptions about why a deal was lost.
How often should I revisit this log?
Monthly or quarterly, whenever you've accumulated another batch of lost deals worth analyzing.
How We Compare
| Feature | MVPHub | Salesforce | HubSpot |
|---|---|---|---|
| Pattern-confidence scoring | Included | Not included | Not included |
| Full CRM pipeline tracking | Not included | Included | Included |
| Loss-reason tagging | Limited | Included | Included |
| Dominant-reason computation | Included | Not included | Not included |
Salesforce and HubSpot track full pipelines and let you tag loss reasons, but neither computes a pattern-confidence score from the tallies. MVPHub gives that quick read.
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