Talk:Data Validation in Grooper

Randall Kinard 2026-04-16

This is a strong, well-developed reference that does a great job explaining how validation actually works in Grooper. It balances concepts with real configuration steps and clearly distinguishes between field-level validation and rule-based logic.

That said, it’s a bit dense in places and could be easier to navigate—especially for newer users.

What the Article Does Well

• Covers all major validation methods
  • Value Types, Required / Is Required, Calculated Value, Is Valid, Lookups, and Data Rules are all included
  • Presents a complete picture of how validation works in Grooper

• Explains concepts clearly
  • Especially strong at distinguishing:
    • Required vs Is Required
    • Is Valid vs Calculated Value
    • Field validation vs Data Rules
  • Helps users understand when to use each option

• Provides practical guidance
  • Includes step-by-step instructions for setup
  • Clearly shows where properties are configured in the Design Page
  • Encourages testing and validation

• Uses relevant real-world examples
  • Invoice scenarios (totals, line items, dates) are practical and relatable

• Handles advanced topics well
  • Database Lookups and Data Rules are explained in a way that matches real use
  • Good explanation of how Data Rules support validation without being validation themselves

• Builds a solid mental model
  • Field validation = “Is this value valid?”
  • Data Rules = “What should happen based on conditions?”

What Could Be Improved

Density and Readability

• Some sections are long and heavy (especially Value Types and Data Rules)
• Can be harder to scan quickly

Suggestion:

• Add a short “Quick Start” section to guide new users

Missing Big Picture Flow

• Explains each method well, but not how they fit together

Suggestion:

• Add a simple validation workflow (e.g., extraction → field validation → lookups → rules)

Some Repetition

• A few concepts—especially around Data Rules—are repeated

Suggestion:

• Tighten and consolidate repeated explanations

Uneven Depth

• Some sections are very detailed, others are more basic

Suggestion:

• Balance things out—either trim or expand where needed

Lacks “Which Should I Use?” Guidance

• Doesn’t directly help users choose the right method

Suggestion: Add a quick reference table that suggests what to use in what scenario.

Minor Cleanup

• A few small typos and slightly wordy instructions
• Minor formatting inconsistencies

Suggestion:

• Light editing pass for clarity and polish

Bottom Line

Strengths

• Clear, accurate, and very complete
• Strong mix of concepts and real-world usage
• Great explanation of how validation fits into Grooper overall

Areas to Improve

• Slightly dense and harder to scan
• Missing a simple “big picture” view
• Could better guide users on choosing the right approach