Researching skitourenguru.ch

2026-01-19
Michele Cazzaro
2 min read

A small user research in order to understand the cognitive load of planning a ski tour using skitourenguru.ch, a planning tool specifically designed to assist alpine roamers in safely planning their tours or trips. I decided to investigate specifically the cognitive load, as I viewed this as an important factor for critical desicions making. To investigate it I chose to use a standardized questionnaire designed by NASA, the NASA-TLX, to assess the subjective workload of a human-machine interaction task.

The Challenge

Problem: Ski-tour planning is safety-critical. How effectively does skitourenguru.ch, a tool aggregating avalanche bulletins, maps, and trail data, support users in finding and comparing low-risk routes?

What interface barriers create unnecessary cognitive load during route comparison?

The Study

The study was conducted through moderated usability testing sessions, involving 5 experienced ski-tourers. The think-aloud protocol and NASA-TLX questionnaire were the strongest methodological pillars that allowed me to gather both qualitative and quantitative data on user experience and cognitive load.

The sessions required participants to complete 3 ecological tasks:

  • Find low-risk tour (800-1000m ascent, <150km from Trento)
  • Compare 2 routes' risk profiles and choose the safer one
  • Export the GPX file of the chosen route

Key Findings

  1. Route comparison = major pain point
    No "compare tours" feature → users toggled between routes, relying on memory for slope/risk data. Task 2 took longest (290s avg).

  2. Menu confusion
    Right-side menu lacked hierarchy. Donation banner distracted from critical info.

  3. Map friction
    Overlapping routes hard to select.

Strength: Color coding for avalanche risk/slope instantly intuitive.

NASA-TLX scores showed a low to medium workload, with an average of 4.7 out of 10. This metric, considered informative due to the small sample size, highlighted that mental demand and effort were the highest contributors to cognitive load.

Design Recommendations

IssueRecommendation
No route comparisonAdd side-by-side view with overlaid risk metrics
Menu distractionRestructure hierarchy, minimize donation banner
Draw mode stuckClearer exit icon + status indicator
Map selectionImprove overlapping route handling

Impact: These changes reduce extraneous cognitive load during safety-critical decisions.

See the Full research report (PDF)

A tech drawing in isometric projection showing the Nub pager device.

The Nub

A pager that helps you stick to your habits, without distracting you with habit tracking apps.

Product Design // Prototyping 

Rehab Instagram redesign

Neuro-design against addiction

Conceptualization of interventions and features that would make users more aware of their time spent on social media.

Literature backed // UI Des 

Trust in Chatgpt vs Google

Comparative study to analyze self-perceived trust in regular search engines and large language models

TIA questionnaire // Usr research 

SEE ALL