Trustworthy Online Controlled Experiments vs The SGML Implementation Guide: A Blueprint for SGML Migration
Overall winner: Trustworthy Online Controlled Experiments
Key Differences
Product A (Ron Kohavi) is a well-reviewed book on online controlled experiments with many real-world examples and broad appeal to experimenters; it sits at a more affordable price tier and has extensive user feedback. Product B (Brian E. E. Travis & Dale C. Waldt) is a focused SGML migration guide with a single perfect review and SGML-specific practical guidance, better for niche migration or documentation projects
Trustworthy Online Controlled Experiments
A practical guide on designing and analyzing online controlled experiments. Combines theory with real-world examples, with readable, valuable content for experimenters. Some feedback notes mixed organization
Pros
- practical advice for experimenters
- readable content
- valuable for understanding experiments
- real-world examples
Cons
- organization/mixed structure noted by customers
- content variety and ease-of-use receive mixed feedback
The SGML Implementation Guide: A Blueprint for SGML Migration
Guide for SGML migration with practical insights. Focuses on database storage and design aspects. Customer insight note available for reference
Pros
- clear SGML migration guidance
- focus on database storage & design
- structured blueprint format
Cons
- no features listed
- limited customer insight data
- not explicit on implementation details
Head-to-Head
| Criteria | Winner |
|---|---|
| Price | Ron Kohavi |
| Durability | Tie |
| Versatility | Ron Kohavi |
| User Reviews | Ron Kohavi |