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How to Request a Feature

Have a great idea for Reservium? We'd love to hear it! Feature requests are a vital part of improving the system for everyone.


Before Submitting

To help us process your request efficiently, please take a moment to:

  • Check existing issues: Search our GitHub Issues to see if the feature has already been requested or discussed.
  • Align with project goals: Consider if the feature fits the core purpose of Reservium (efficient space management and reservation).

How to Submit

We use GitHub Issues to track all feature requests. This ensures that the discussion is transparent and easily accessible to all contributors.

Steps to Submit:

  1. Navigate to the Reservium API Repository.
  2. Click on the Issues tab.
  3. Click the New Issue button.
  4. Select the Feature Request template (if available) or start a blank issue.

What to Include:

A Good Feature Request Includes...

  • Descriptive Title: A clear, concise summary of the feature.
  • Detailed Description: Explain what the feature should do and how it should work.
  • Use Cases: Describe the problem this feature solves and who it benefits.
  • Mockups/Examples: If possible, include sketches or references to similar features in other tools.

What Happens Next?

Once you submit your request, here is what you can expect:

  1. Review: Our team will review the request to understand its impact and feasibility.
  2. Discussion: We might ask follow-up questions or suggest refinements to the proposal.
  3. Prioritization:
    • Accepted: If it aligns with our roadmap, it will be added to our backlog and assigned a priority.
    • Declined/Postponed: If it doesn't fit our current focus, we will explain why. It might still be kept for future consideration.

Tips for Success

  • Be Specific: The more detail you provide, the easier it is for us to understand your vision.
  • Explain the "Why": Understanding the value helps us prioritize the most impactful features.
  • Be Open to Feedback: Sometimes a different approach might solve the same problem more efficiently.

Ready to Start?

Head over to GitHub and let us know what you're thinking!