Simulation Results

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Understanding Simulation History

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Simulation Timeline

• Pages visited and features explored
• Actions taken and interactions performed
• Screenshots captured during exploration
• Time spent on different areas

• Key discoveries and insights
• Understanding of user workflows
• Recognition of interface elements
• Mapping of feature relationships

• Questions the agent asked during exploration
• Responses you provided
• How guidance influenced the exploration
• Context that helped the agent learn

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Result Categories

• Navigation patterns and menu structures
• Button locations and functions
• Form fields and their purposes
• Modal dialogs and popup behaviors

• Step-by-step processes
• User journey mapping
• Decision points and branching
• Error handling and recovery

• How different features connect
• Dependencies between functions
• Integration points and data flow
• Cross-feature workflows

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Reviewing Simulation Results

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Accessing Results

1. Navigate to Simulations in your Marketrix dashboard
2. Click on a completed simulation to view details
3. Review the simulation history and activity log
4. Examine screenshots and interactions captured during exploration

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Key Areas to Review

• Did the agent cover all intended areas?
• Were important features and workflows explored?
• Did the agent follow the instructions effectively?
• Are there gaps in the exploration?

• Does the agent’s interpretation match reality?
• Are the workflows and processes correctly understood?
• Did the agent identify the right user goals?
• Are feature relationships accurately mapped?

• Did the agent gain actionable insights?
• Is the knowledge specific and detailed enough?
• Will this help the agent assist real users?
• Are there areas that need additional exploration?

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Verifying Agent Learning

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Testing Agent Knowledge

1. Test specific scenarios the agent explored
2. Ask questions about features the agent learned
3. Request guidance on workflows the agent mapped
4. Verify accuracy of agent responses

• “How do users create a new project?”
• “What happens when someone tries to checkout without an account?”
• “Where can users find their order history?”
• “How do users reset their password?”

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Validating Understanding

• Are answers specific and actionable?
• Do responses reference actual interface elements?
• Are workflows described accurately?
• Can users follow the guidance successfully?

• Does the agent understand the complete process?
• Are all necessary steps included?
• Are edge cases and alternatives covered?
• Is troubleshooting knowledge present?

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Interpreting Simulation Data

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Screenshot Analysis

• Button names and locations
• Form field labels and types
• Navigation menu structures
• Modal dialog content

• What the user sees at each step
• Available options and choices
• Visual cues and indicators
• Error states and messages

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Interaction Patterns

• Logical progression through workflows
• Decision points and branching paths
• Required vs. optional steps
• Alternative approaches and shortcuts

• How users move between sections
• Breadcrumb trails and back navigation
• Menu structures and organization
• Search and discovery patterns

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Learning Indicators

• Agent can describe specific interface elements
• Agent understands complete workflows
• Agent recognizes user goals and contexts
• Agent can provide step-by-step guidance

• Vague or generic responses
• Missing steps in workflows
• Incorrect interface descriptions
• Lack of context awareness

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Improving Simulation Results

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Identifying Gaps

• Run additional simulations for missed areas
• Provide more specific instructions
• Focus on particular features or workflows
• Test different user scenarios

• Clarify instructions for better focus
• Provide additional context during exploration
• Answer agent questions more specifically
• Guide agent attention to important details

• Extend simulation duration for deeper exploration
• Ask agent to explore edge cases and alternatives
• Test error scenarios and recovery procedures
• Map feature relationships and dependencies

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Running Follow-up Simulations

Focus specifically on the checkout process that was partially explored.
Learn the complete workflow including:
- Cart management and item review
- Payment processing and security
- Order confirmation and tracking
- Error handling and recovery

Explore what happens when users encounter problems during account creation.
Learn about:
- Common error messages and their meanings
- Recovery procedures and solutions
- Alternative approaches when primary methods fail
- When to escalate to human support

Understand how the dashboard connects to other features.
Explore:
- Navigation patterns between sections
- Data flow and synchronization
- Feature dependencies and requirements
- Cross-functional workflows

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Simulation Result Metrics

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Exploration Coverage

• Number of pages/features visited
• Depth of exploration in each area
• Time spent on different sections
• Screenshots captured and analyzed

• Number of workflows understood
• Feature relationships mapped
• User scenarios covered
• Edge cases identified

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Quality Indicators

• Correctness of interface descriptions
• Accuracy of workflow steps
• Proper understanding of user goals
• Valid feature relationships

• Coverage of intended exploration areas
• Inclusion of all necessary steps
• Recognition of important details
• Understanding of context and alternatives

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Best Practices for Result Review

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Systematic Review Process

1. Review simulation timeline for overall progress
2. Check exploration coverage against instructions
3. Identify major discoveries and insights
4. Note any gaps or incomplete areas

1. Examine screenshots for interface understanding
2. Review interaction patterns for workflow knowledge
3. Test agent responses in the playground
4. Validate accuracy of learned information

1. Identify areas needing additional exploration
2. Plan follow-up simulations for gaps
3. Update agent instructions based on findings
4. Schedule regular reviews for ongoing improvement

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Continuous Improvement

• Run simulations after product updates
• Test new features and workflows
• Verify existing knowledge is still accurate
• Explore areas where users struggle

• Use user questions to guide simulation focus
• Explore scenarios reported in support tickets
• Test solutions to common user problems
• Validate agent responses with real user needs

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Common Result Patterns

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Successful Simulations

• Comprehensive exploration of intended areas
• Accurate understanding of workflows
• Specific knowledge of interface elements
• Ability to provide helpful user guidance

• Agent is ready to assist users effectively
• Knowledge is current and accurate
• Responses will be specific and actionable
• Users will receive valuable help

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Incomplete Simulations

• Vague or generic responses
• Missing steps in workflows
• Incorrect interface descriptions
• Lack of context awareness

• Run additional targeted simulations
• Provide more specific instructions
• Answer agent questions more thoroughly
• Focus on particular areas of weakness

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Inaccurate Simulations

• Incorrect workflow descriptions
• Wrong interface element names
• Misunderstood user goals
• Invalid feature relationships

• Clarify instructions for better focus
• Provide additional context and guidance
• Test agent responses and correct errors
• Run new simulations with improved instructions

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Next Steps

1. Test agent performance - Verify improved capabilities in the playground
2. Create follow-up simulations - Address any gaps or inaccuracies
3. Update agent knowledge - Integrate new learning with existing knowledge
4. Deploy to production - Use your improved agents to help real users

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Getting Help

• Check the troubleshooting guide for common issues
• Review result interpretation best practices
• Test agent responses to validate learning
• Contact support for additional help