This audit helps identify subtle friction points (micro-frictions) in your daily commute and evaluates how departure time choices impact your travel experience. Your responses will reveal patterns and opportunities for optimization.
What is your primary mode of transportation for your main commute?
Personal vehicle (car, motorcycle)
Public transit (bus, train, subway)
Bicycle or e-bike
Walking
Mixed-mode (e.g., bike + train)
Ride-sharing service
Other
Average one-way commute distance
Typical total one-way travel time (in minutes)
How many days per week do you typically commute to this location?
How satisfied are you with your current commute overall?
Very Dissatisfied
Dissatisfied
Neutral
Satisfied
Very Satisfied
Do you have flexible work hours that allow you to adjust your departure time?
Do you currently track or log your commute times and conditions?
Understanding how you choose when to leave reveals opportunities to avoid peak friction periods.
How do you typically decide your departure time?
Fixed schedule (same time daily)
Based on traffic/transit app data
Gut feeling or habit
To arrive exactly at work start time
Buffer time added to estimated travel time
Varies significantly day-to-day
Your ideal departure time (if no constraints)
Your actual average departure time on work days
Your ideal arrival time at destination
How many minutes do you typically buffer beyond the estimated travel time?
Do you check real-time traffic or transit conditions before leaving home?
Have you systematically experimented with different departure times?
Log your last 5 commutes to identify patterns. Be as specific as possible about friction points. This is the core data collection section.
Commute Details Table
Departure Time | Route Taken | Primary Friction Point | Total Travel Time (Mins) | Stress Rating | |
|---|---|---|---|---|---|
8:15 AM | Route A via Main St | School zone congestion | 32 | ||
8:30 AM | Route B via Park Ave | Train signal delay | 28 | ||
8:00 AM | Route A via Main St | Highway merge bottleneck | 35 | ||
Let's analyze specific friction points that create delays and stress, even if they add only 2-5 minutes individually.
Which types of micro-frictions do you regularly encounter? (Select all that apply)
Traffic signal timing issues
School zone speed reductions
Highway merge congestion
Transit vehicle bunching
Platform crowding
Parking search time
Pedestrian crossing delays
Elevator wait times
Ticket validation queues
Unexpected road closures
Weather-related slowdowns
Delivery vehicle double-parking
Other
Rate how frequently each friction point occurs and its impact on your commute
Never | Rarely (1x/week) | Sometimes (2-3x/week) | Often (4-5x/week) | Daily | |
|---|---|---|---|---|---|
Traffic signal timing issues | |||||
School zone speed reductions | |||||
Highway merge congestion | |||||
Transit delays | |||||
Parking friction | |||||
Pedestrian interference |
Do you have recurring friction points at specific locations and times?
Which single friction point adds the MOST time to your commute?
Highway congestion
Transit delays
Parking search
Route detours
Slow traffic signals
School zones
Other
Which single friction point creates the MOST stress, regardless of time impact?
Unpredictable delays
Crowding
Aggressive drivers
Near-miss incidents
Uncertainty about arrival time
Physical discomfort
Other
Understanding your route decision-making process reveals how you adapt to conditions.
Do you have at least two viable route alternatives for your commute?
Rank these route selection criteria in order of importance (drag to reorder)
Fastest travel time | |
Most reliable/predictable | |
Lowest stress | |
Lowest cost | |
Most scenic/pleasant | |
Fewest transfers/stops | |
Safest |
Do you use GPS navigation even for familiar routes?
Do you change routes based on real-time conditions?
Rate your confidence in alternative routes during different conditions
Route during heavy traffic | |
Route during transit delays | |
Route during bad weather | |
Route during off-peak hours |
Your commute affects more than just travel time. Let's measure the broader impact.
Overall, how would you rate your typical commute stress level?
Rate how your commute impacts these life aspects
Very Negative | Negative | Neutral | Positive | Very Positive | |
|---|---|---|---|---|---|
Work productivity | |||||
Family time | |||||
Mental health | |||||
Physical health | |||||
Social life | |||||
Sleep quality |
Have you ever considered changing jobs primarily due to commute stress?
Do you actively use stress-reduction techniques during your commute?
Describe your ideal stress-free commute. What would it look like, feel like, and how long would it take?
Understanding what changes you'd be willing to make helps identify practical solutions.
Which interventions would most improve your commute? (Select all that apply)
Earlier departure time
Later departure time
Public transit improvements
Remote work options
Carpooling
Route infrastructure improvements
Real-time notification system
Flexible work hours
Relocation closer to work
Nothing, I'm satisfied
Would you shift your departure time by 15 minutes or more if data showed it would reduce stress by 30%?
Are you open to carpooling or ride-sharing arrangements?
How likely are you to significantly change your commute pattern in the next 3 months?
Very likely
Somewhat likely
Neutral
Somewhat unlikely
Very unlikely
Rate the potential effectiveness of these interventions (1 = Not effective, 5 = Extremely effective)
Departure time shift | |
Route optimization | |
Transit frequency increase | |
Traffic signal optimization | |
Remote work flexibility |
Thank you for completing this comprehensive audit. Your final inputs help contextualize your responses.
Any micro-friction points or commute insights not covered in this form? Please share unique observations.
May we contact you for follow-up research on commute optimization?
I consent to having my anonymized data used for commute pattern research and improvement recommendations