Optimizing CRM Tables for Better Readability and Usability
This article examines the vital role of tables in B‑end CRM applications, identifies common visual and interaction problems, and presents a set of readability‑ and operability‑focused design guidelines—including typography, component sizing, hover feedback, header handling, row and column treatments—to enhance user efficiency and experience.
Tables play a crucial role in B‑end products, especially in CRM systems where they occupy most of the screen and are the most frequently used interaction control.
Table Structure
Tables consist of an internal part (title, header, body) and an external part (search, filter, command buttons, pagination).
Common Problems Identified
Outdated visual design and low quality.
Inconsistent operations.
Unsmooth interaction.
Messy layout and cumbersome actions.
Too many or too long fields, poor readability.
Complex semantics.
Optimization Principles
Two guiding principles were defined: A) Readability, B) Operability.
Design Adjustments
Based on user research, the typical screen resolution is 1366×768 and the default zoom is 150 %. Optimizations focus on visual and interaction efficiency.
Typography
Base font size 12 pt for most text, with 14 pt for emphasis (titles, tags, prompts).
Base size (12 pt): body, description.
Emphasis size (14 pt): titles, labels, important hints.
Components
Use a “mini” line‑box component with a height of 28 px to save vertical space.
Feedback Handling
Hover highlight to separate rows.
Hover overlay for truncated long content.
Show a dash “‑” for empty cells.
Header Treatment
Simplify header text; truncate with hover preview if needed.
Allow custom column widths.
Sticky header when scrolling.
Row Treatment
Row height 44 px for single‑line rows, 52 px for double‑line rows.
Horizontal zebra striping with 1 px border for better visual separation.
Column Treatment
Freeze first and last columns when horizontal scrolling is required.
Use vertical dividers of consistent thickness to emphasize columns.
Different table types require different design focuses: complex tables should simplify information and highlight key data, while simple tables should maintain clarity and avoid confusion.
Balancing browsing goals with visual communication is essential; designers must understand user needs, usage scenarios, and the key information users seek to improve comprehension speed.
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