Common Issues & Troubleshooting in Atlas UP

Common Issues & Troubleshooting in Atlas UP

Atlas UP is designed to be a powerful and efficient AI-driven assistant, but like any technology, users may encounter occasional challenges. Below are some of the most common issues along with suggested solutions to improve your experience.

1. Limited Understanding & Query Interpretation

Misinterpretation of Queries

Atlas UP processes natural language inputs, but occasionally, it may misinterpret user intent, leading to incorrect or irrelevant responses.

Imprecise or Ambiguous Questions

Some questions may be too broad for Atlas UP to accurately respond to. For example, a query like:

"Who took off on February 5?"

Might prompt follow-up questions such as:

  • Which year are you referring to?
  • Are you asking about all employees or a specific department?
  • Are you looking for approved or pending leave requests?

To improve accuracy, try asking one specific question at a time instead of including multiple inquiries in a single request.

Context Retention

Currently, Atlas UP does not maintain conversational context across multiple questions in long discussions. If you need more details, restate your original query with additional specifics rather than assuming the system remembers past inputs.

Solution:

  • Rephrase the question to be more precise.
  • Break down complex queries into smaller, distinct questions.
  • Use the "Downvote" feature to flag incorrect responses, helping Atlas UP improve its understanding.
  • Provide additional documentation or company resources to enrich Atlas UP’s ability to retrieve accurate answers.

2. Limited Functionalities & Missing Data

Scope Limitations

Atlas UP can retrieve insights from connected systems, but it may not support all tasks. If a feature is unavailable, it may be due to:

  • Lack of integration with external systems (e.g., HRIS, payroll, or financial tools).
  • Restricted user permissions preventing data access.
  • The requested functionality is not yet part of Atlas UP’s capabilities.

Solution:

  • Check whether Atlas UP is fully integrated with your company's HR, finance, or other business systems.
  • Ensure you have the correct user permissions to access the requested data.
  • Submit a feature request to the Atlas UP Product Team if you believe a function should be added.

3. Integration & System Compatibility Issues

Incompatibility with Business Systems

Some users may experience issues if Atlas UP is not properly integrated with their company's HR, finance, or project management platforms. Missing integrations can result in incomplete responses or missing data.

Cross-Platform Limitations

Atlas UP works across web and mobile, but variations in system setup may lead to inconsistent experiences.

Solution:

  • Verify that your HRIS, payroll, or data systems are correctly linked to Atlas UP.
  • Contact your onboarding team to ensure all necessary integrations are enabled.
  • Check the Integrations section of the Knowledge Portal for guidance on connecting external platforms.

4. Training & User Adoption Challenges

User Training Needs

New users may require training on how to interact effectively with Atlas UP, especially if they are unfamiliar with AI-driven assistants.

Slow Adoption

Users might resist using Atlas UP due to a perceived steep learning curve or lack of familiarity with the platform.

Solution:

  • Refer to the User Guide in the Knowledge Portal for best practices on interacting with Atlas UP.
  • Encourage users to start with simple queries before progressing to advanced searches.
  • Reach out to the support team for additional training or Q&A sessions.

5. Performance & System Downtime

Slow Response Times

Atlas UP’s response time depends on multiple factors, including data volume and external system connectivity. In some cases, queries may take longer to process due to high system load or integration delays.

Downtime & System Outages

While Atlas UP is designed for high availability, occasional maintenance or external dependencies may cause temporary service interruptions.

Solution:

  • If responses are slow, try simplifying your query to retrieve a smaller dataset.
  • Check the Atlas UP System Status page (if available) for known outages or maintenance periods.
  • Report prolonged system issues to support@atlasup.com.

6. Improving Atlas UP Through User Feedback

Atlas UP continuously evolves based on user input. If you encounter an issue not covered in this guide, or if you have suggestions for improvements, please:

  • Submit feature requests to the Atlas UP Product Team.
  • Report persistent issues to support@atlasup.com.
  • Use the built-in feedback tools to upvote or downvote responses, helping refine AI accuracy.

By proactively addressing these issues through user education, system optimizations, and responsive support, Atlas UP ensures a continually improving experience for all users.