home / skills / harborgrid-justin / lexiflow-premium / progressive-disclosure-systems

progressive-disclosure-systems skill

/frontend/.github-skills/progressive-disclosure-systems

This skill helps design progressive disclosure UIs that reveal data in optimal sequences using staged reveals, Suspense, and graceful fallbacks.

npx playbooks add skill harborgrid-justin/lexiflow-premium --skill progressive-disclosure-systems

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SKILL.md
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---
name: progressive-disclosure-systems
description: Design progressive disclosure UIs that reveal data and components in optimal sequences.
---

# Progressive Disclosure Systems (React 18)

## Summary

Design progressive disclosure UIs that reveal data and components in optimal sequences.

## Key Capabilities

- Orchestrate staged reveals with `Suspense` and transitions.
- Optimize perceived performance with incremental loading.
- Maintain UX continuity under partial data availability.

## PhD-Level Challenges

- Model user attention as a function of reveal order.
- Optimize reveal sequences using empirical engagement metrics.
- Validate that progressive disclosure reduces cognitive load.

## Acceptance Criteria

- Demonstrate a staged reveal flow with measurable UX gains.
- Provide a rationale for sequencing decisions.
- Document fallback behavior under missing data.

Overview

This skill designs progressive disclosure UIs that reveal data and components in optimal sequences for complex applications, with an emphasis on legal management workflows. It focuses on staged reveals that improve perceived performance and reduce cognitive overload while preserving task continuity. The outcome is interactive patterns and implementation guidance for incremental loading and graceful fallbacks.

How this skill works

The skill defines reveal sequences and maps UI components to stages, using techniques like React Suspense, concurrent transitions, and priority-based data fetching. It inspects component dependencies and data criticality to determine order, then instruments metrics to measure engagement and perceived latency. Fallbacks and skeletons are specified for partial or missing data to maintain context and actionability.

When to use it

  • Complex dashboards where full data load is slow or unnecessary up front
  • Forms and workflows that require focused user attention on sequential steps
  • Legal documents or case views where primary facts should appear before auxiliary details
  • Interfaces that must remain interactive while secondary data loads
  • Mobile or bandwidth-constrained contexts where progressive loading improves responsiveness

Best practices

  • Prioritize actionable, decision-critical elements in the first reveal stage
  • Use Suspense and transitions to avoid layout shifts and preserve focus
  • Provide skeletons and clear microcopy for placeholders to set expectations
  • Measure engagement by stage and iterate reveal order based on empirical metrics
  • Document fallback paths and ensure keyboard and assistive tech continuity

Example use cases

  • Case overview: show client identity, status, and key dates first, then load documents and activity feed
  • Contract review: reveal clause summaries and risk flags before full text streams in
  • Task lists: surface high-priority tasks immediately, progressively load comments and attachments
  • Search results: display top-matching records quickly with details loaded on demand
  • Onboarding flows: reveal core steps and essential inputs before optional profile fields

FAQ

How do I decide what to reveal first?

Rank UI elements by decision impact and frequency of use; disclose items needed to complete the next user action first.

What if data for a stage fails to load?

Show a concise error state within that stage, allow retry or a fallback summary, and keep previously revealed content usable.