Just-in-Time

Master this essential documentation concept

Quick Definition

Just-in-Time (JIT) in documentation is a strategy that creates, updates, and delivers information precisely when needed rather than maintaining extensive documentation libraries. This approach reduces waste by focusing resources on actively used content and eliminates outdated or unnecessary documentation.

How Just-in-Time Works

flowchart TD A[User Need Identified] --> B{Existing Content Available?} B -->|Yes| C[Deliver Existing Content] B -->|No| D[Assess Priority & Impact] D --> E[Create Minimal Viable Content] E --> F[Deliver to User] F --> G[Collect Usage Data] G --> H{Content Performing Well?} H -->|Yes| I[Maintain & Refine] H -->|No| J[Update or Archive] C --> K[Monitor Usage] K --> L{Still Relevant?} L -->|Yes| I L -->|No| J I --> M[Add to Knowledge Base] J --> N[Remove from Active Docs]

Understanding Just-in-Time

Just-in-Time (JIT) documentation is a lean approach that prioritizes creating and maintaining content based on immediate user needs and actual demand. Rather than producing comprehensive documentation upfront, teams focus on delivering the right information at the right moment.

Key Features

  • Demand-driven content creation based on user requests and analytics
  • Minimal viable documentation that covers essential use cases
  • Rapid response system for addressing documentation gaps
  • Continuous refinement based on user feedback and usage patterns
  • Integration with user workflows and support channels

Benefits for Documentation Teams

  • Reduced maintenance overhead for unused or outdated content
  • Higher content relevance and user satisfaction
  • More efficient resource allocation and team productivity
  • Faster response to changing product features and user needs
  • Improved content quality through focused attention on high-impact areas

Common Misconceptions

  • JIT means having no documentation prepared in advance
  • It's only suitable for small teams or simple products
  • Quality suffers due to rushed content creation
  • It eliminates the need for content planning and strategy

Real-World Documentation Use Cases

API Documentation for New Features

Problem

Development teams release features faster than documentation teams can create comprehensive guides, leading to gaps in API documentation.

Solution

Implement JIT documentation that creates essential API docs when developers request them or when support tickets indicate user confusion.

Implementation

1. Set up automated alerts for new API endpoints 2. Create templates for rapid API documentation 3. Establish a 24-hour response time for critical API docs 4. Use user feedback to prioritize which endpoints need detailed examples 5. Expand documentation based on actual usage patterns

Expected Outcome

Reduced time-to-documentation from weeks to hours, improved developer satisfaction, and elimination of unused documentation overhead.

Customer Support Knowledge Base

Problem

Support teams spend time maintaining extensive knowledge bases where 80% of articles are rarely accessed, while frequently asked questions lack proper documentation.

Solution

Create documentation based on actual support ticket volume and customer inquiries, focusing on high-impact, frequently requested information.

Implementation

1. Analyze support ticket data to identify top issues 2. Create documentation only for problems that occur more than 5 times per month 3. Set up automatic alerts when new issue patterns emerge 4. Empower support agents to create quick documentation during ticket resolution 5. Review and archive low-usage content quarterly

Expected Outcome

90% reduction in maintenance overhead, faster resolution times, and higher customer satisfaction scores.

Internal Process Documentation

Problem

Teams create extensive process documentation that becomes outdated quickly as workflows evolve, leading to confusion and inefficiency.

Solution

Document processes only when team members request clarification or when onboarding new employees, keeping content minimal and current.

Implementation

1. Replace comprehensive process manuals with FAQ-style documentation 2. Create documentation during actual process execution 3. Use screen recordings and quick guides instead of lengthy written procedures 4. Update documentation immediately when processes change 5. Archive documentation for discontinued processes

Expected Outcome

Always-current process documentation, reduced onboarding time, and elimination of conflicting or outdated procedures.

Product Feature Documentation

Problem

Product teams document all features comprehensively, but users only engage with a small subset, resulting in wasted effort on unused content.

Solution

Create feature documentation based on user adoption metrics and support requests, focusing on features that users actually discover and use.

Implementation

1. Integrate analytics to track feature usage 2. Create basic documentation for all features, detailed docs only for popular ones 3. Set usage thresholds that trigger expanded documentation 4. Use in-app contextual help instead of external comprehensive guides 5. Regularly review and update based on feature adoption data

Expected Outcome

Higher documentation engagement rates, reduced content creation time, and better alignment between user needs and available resources.

Best Practices

Establish Clear Triggers for Content Creation

Define specific criteria that trigger documentation creation, such as support ticket thresholds, user requests, or feature adoption rates.

✓ Do: Set measurable triggers like '3 support tickets on the same topic' or 'feature usage above 10%' to initiate documentation efforts.
✗ Don't: Rely on subjective decisions or create content 'just in case' without clear demand indicators.

Create Rapid Response Templates

Develop standardized templates and workflows that enable quick content creation when documentation needs arise.

✓ Do: Maintain templates for common content types, establish approval workflows, and train team members on rapid content creation techniques.
✗ Don't: Start from scratch each time or require lengthy approval processes that defeat the purpose of just-in-time delivery.

Implement Continuous Feedback Loops

Establish systems to continuously collect and analyze user feedback, usage data, and content performance metrics.

✓ Do: Use analytics tools, feedback widgets, and regular user surveys to understand content effectiveness and identify gaps.
✗ Don't: Create content in isolation without measuring its impact or gathering user input on its usefulness.

Maintain Minimal Viable Documentation

Focus on creating the smallest amount of documentation that effectively addresses user needs, then expand based on demand.

✓ Do: Start with essential information, clear examples, and actionable steps. Add detail incrementally based on user questions.
✗ Don't: Over-document initially or include every possible edge case without evidence that users need that level of detail.

Regular Content Auditing and Pruning

Systematically review and remove or archive content that no longer serves user needs or reflects current processes.

✓ Do: Schedule quarterly reviews of content performance, remove outdated information, and archive unused documentation.
✗ Don't: Let old content accumulate indefinitely or assume that more documentation is always better than less.

How Docsie Helps with Just-in-Time

Modern documentation platforms provide essential infrastructure for implementing Just-in-Time documentation strategies effectively. These platforms offer the flexibility and responsiveness needed to create, update, and deliver content precisely when users need it.

  • Real-time Analytics: Track content usage patterns, identify documentation gaps, and measure user engagement to inform JIT creation decisions
  • Rapid Content Creation: Streamlined editors, templates, and collaborative workflows enable quick response to emerging documentation needs
  • Dynamic Content Delivery: Smart search, contextual help, and personalized content recommendations ensure users find relevant information instantly
  • Automated Workflows: Integration with support systems, development tools, and user feedback channels to trigger documentation creation based on predefined criteria
  • Version Control and Updates: Seamless content updates and rollbacks ensure documentation stays current without disrupting user access
  • Scalable Architecture: Cloud-based platforms that grow with demand, supporting both minimal documentation sets and expanded content libraries as needs evolve

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