Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Simplified structure
Tested revised groupings to match user logic and reduce confusion.
Refined labeling
Validated clearer naming conventions through iterative testing.
Evidence-based direction
Provided data-driven recommendations before client-side implementationrounds.
Challenge
PLL LOT was preparing to update the information architecture and menu structure on lot.com. Before applying changes, the team needed to verify whether proposed improvements would better reflect user expectations. UXhands was responsible for conducting research and delivering actionable recommendations to support informed decision-making.
Key business challenges included:
Validating revised structure - checking whether the new hierarchy aligned with how users seek flight and service information
Improving label clarity - assessing if category names and entry points were easy to understand
Reducing navigation friction - identifying structural patterns that cause hesitation or misclicks
Delivering user-backed evidence - equipping the client team with clear data before implementing changes
Challenge
PLL LOT was preparing to update the information architecture and menu structure on lot.com. Before applying changes, the team needed to verify whether proposed improvements would better reflect user expectations. UXhands was responsible for conducting research and delivering actionable recommendations to support informed decision-making.
Key business challenges included:
Validating revised structure - checking whether the new hierarchy aligned with how users seek flight and service information
Improving label clarity - assessing if category names and entry points were easy to understand
Reducing navigation friction - identifying structural patterns that cause hesitation or misclicks
Delivering user-backed evidence - equipping the client team with clear data before implementing changes
Challenge
PLL LOT was preparing to update the information architecture and menu structure on lot.com. Before applying changes, the team needed to verify whether proposed improvements would better reflect user expectations. UXhands was responsible for conducting research and delivering actionable recommendations to support informed decision-making.
Key business challenges included:
Validating revised structure - checking whether the new hierarchy aligned with how users seek flight and service information
Improving label clarity - assessing if category names and entry points were easy to understand
Reducing navigation friction - identifying structural patterns that cause hesitation or misclicks
Delivering user-backed evidence - equipping the client team with clear data before implementing changes
Challenge
PLL LOT was preparing to update the information architecture and menu structure on lot.com. Before applying changes, the team needed to verify whether proposed improvements would better reflect user expectations. UXhands was responsible for conducting research and delivering actionable recommendations to support informed decision-making.
Key business challenges included:
Validating revised structure - checking whether the new hierarchy aligned with how users seek flight and service information
Improving label clarity - assessing if category names and entry points were easy to understand
Reducing navigation friction - identifying structural patterns that cause hesitation or misclicks
Delivering user-backed evidence - equipping the client team with clear data before implementing changes
Challenge
PLL LOT was preparing to update the information architecture and menu structure on lot.com. Before applying changes, the team needed to verify whether proposed improvements would better reflect user expectations. UXhands was responsible for conducting research and delivering actionable recommendations to support informed decision-making.
Key business challenges included:
Validating revised structure - checking whether the new hierarchy aligned with how users seek flight and service information
Improving label clarity - assessing if category names and entry points were easy to understand
Reducing navigation friction - identifying structural patterns that cause hesitation or misclicks
Delivering user-backed evidence - equipping the client team with clear data before implementing changes
Approach
UXhands led a research process focused on evaluating the effectiveness of existing and proposed navigation models. We collaborated closely with the client, who handled implementation based on findings. The research combined one round of usability testing with two iterations of tree testing to analyze how users interpret and navigate menu structures.
Approach
UXhands led a research process focused on evaluating the effectiveness of existing and proposed navigation models. We collaborated closely with the client, who handled implementation based on findings. The research combined one round of usability testing with two iterations of tree testing to analyze how users interpret and navigate menu structures.
Approach
UXhands led a research process focused on evaluating the effectiveness of existing and proposed navigation models. We collaborated closely with the client, who handled implementation based on findings. The research combined one round of usability testing with two iterations of tree testing to analyze how users interpret and navigate menu structures.
Approach
UXhands led a research process focused on evaluating the effectiveness of existing and proposed navigation models. We collaborated closely with the client, who handled implementation based on findings. The research combined one round of usability testing with two iterations of tree testing to analyze how users interpret and navigate menu structures.
Approach
UXhands led a research process focused on evaluating the effectiveness of existing and proposed navigation models. We collaborated closely with the client, who handled implementation based on findings. The research combined one round of usability testing with two iterations of tree testing to analyze how users interpret and navigate menu structures.
Methodologies & phases
Defined research goals around findability, labeling, and navigation logic.
Created realistic task scenarios based on frequent user journeys.
Established success metrics such as task completion, error patterns, and hesitation indicators.
Methodologies & Phases
Defined research goals around findability, labeling, and navigation logic.
Created realistic task scenarios based on frequent user journeys.
Established success metrics such as task completion, error patterns, and hesitation indicators.
Methodologies & phases
Defined research goals around findability, labeling, and navigation logic.
Created realistic task scenarios based on frequent user journeys.
Established success metrics such as task completion, error patterns, and hesitation indicators.
Methodologies & phases
Defined research goals around findability, labeling, and navigation logic.
Created realistic task scenarios based on frequent user journeys.
Established success metrics such as task completion, error patterns, and hesitation indicators.
Methodologies & Phases
Defined research goals around findability, labeling, and navigation logic.
Created realistic task scenarios based on frequent user journeys.
Established success metrics such as task completion, error patterns, and hesitation indicators.
Methodologies & Phases
Defined research goals around findability, labeling, and navigation logic.
Created realistic task scenarios based on frequent user journeys.
Established success metrics such as task completion, error patterns, and hesitation indicators.
Conclusion
Through a multi-stage research process, we uncovered key user insights that shaped navigation strategy and validated design decisions. Even subtle changes to grouping and terminology were shown to improve clarity and reduce cognitive load. By combining qualitative and quantitative methods, we ensured that recommendations were grounded in evidence and aligned with user expectations across markets.
Conclusion
Through a multi-stage research process, we uncovered key user insights that shaped navigation strategy and validated design decisions. Even subtle changes to grouping and terminology were shown to improve clarity and reduce cognitive load. By combining qualitative and quantitative methods, we ensured that recommendations were grounded in evidence and aligned with user expectations across markets.
Conclusion
Through a multi-stage research process, we uncovered key user insights that shaped navigation strategy and validated design decisions. Even subtle changes to grouping and terminology were shown to improve clarity and reduce cognitive load. By combining qualitative and quantitative methods, we ensured that recommendations were grounded in evidence and aligned with user expectations across markets.
Conclusion
Through a multi-stage research process, we uncovered key user insights that shaped navigation strategy and validated design decisions. Even subtle changes to grouping and terminology were shown to improve clarity and reduce cognitive load. By combining qualitative and quantitative methods, we ensured that recommendations were grounded in evidence and aligned with user expectations across markets.
Conclusion
Through a multi-stage research process, we uncovered key user insights that shaped navigation strategy and validated design decisions. Even subtle changes to grouping and terminology were shown to improve clarity and reduce cognitive load. By combining qualitative and quantitative methods, we ensured that recommendations were grounded in evidence and aligned with user expectations across markets.
Outcome
Refined structure: the navigation was reorganized to better match user expectations and real-world search behavior.
Improved clarity: category labels and content grouping were adjusted to reduce ambiguity and decision fatigue.
Reduced confusion: users reached their target destinations more directly, with fewer errors and backtracks.
Validated approach: iterative tree testing confirmed the effectiveness of changes before implementation.
Outcome
Refined structure: the navigation was reorganized to better match user expectations and real-world search behavior.
Improved clarity: category labels and content grouping were adjusted to reduce ambiguity and decision fatigue.
Reduced confusion: users reached their target destinations more directly, with fewer errors and backtracks.
Validated approach: iterative tree testing confirmed the effectiveness of changes before implementation.
Outcome
Refined structure: the navigation was reorganized to better match user expectations and real-world search behavior.
Improved clarity: category labels and content grouping were adjusted to reduce ambiguity and decision fatigue.
Reduced confusion: users reached their target destinations more directly, with fewer errors and backtracks.
Validated approach: iterative tree testing confirmed the effectiveness of changes before implementation.
Outcome
Refined structure: the navigation was reorganized to better match user expectations and real-world search behavior.
Improved clarity: category labels and content grouping were adjusted to reduce ambiguity and decision fatigue.
Reduced confusion: users reached their target destinations more directly, with fewer errors and backtracks.
Validated approach: iterative tree testing confirmed the effectiveness of changes before implementation.
Outcome
Refined structure: the navigation was reorganized to better match user expectations and real-world search behavior.
Improved clarity: category labels and content grouping were adjusted to reduce ambiguity and decision fatigue.
Reduced confusion: users reached their target destinations more directly, with fewer errors and backtracks.
Validated approach: iterative tree testing confirmed the effectiveness of changes before implementation.
Stories that drive success
From research to execution, we collaborate with businesses to craft experiences that resonate with users and deliver measurable results.
Stories that drive success
From research to execution, we collaborate with businesses to craft experiences that resonate with users and deliver measurable results.
Stories that drive success
From research to execution, we collaborate with businesses to craft experiences that resonate with users and deliver measurable results.