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1 bycycle ashlynne camuti
2 PROBLEM STATEMENT + HYPOTHESIS Bikers need a way to forecast route conditions because unexpected conditions can lead to a stressful and delayed ride. We believe that by providing a simple pre-ride forecast for commuters, we will achieve greater route efficiency, skimming minutes off planning and ride time.
3 USER RESEARCH
4 TARGET AUDIENCE Urban commuter cyclists + bike enthusiasts
5 USER INTERVIEWS [4] interviews were conducted with individuals who bike frequently for commuting, exercise, and fun. Each person approaches biking uniquely but similarities can be drawn between them to discern primary motivations and pain points.
6 KEY GOALS + TAKEAWAYS USER GOALS TAKEAWAYS - Find efficient routes for commuting with minimal effort - Bike as means for quick transport to multiple destinations - Ride for leisure and discovery of new places - [pain point] Users have limited trust in bike infrastructure - [pain point] It s difficult to plan social activities around bikeability because of safety concerns - [pain point] concerns: theft, popped tires, drivers - Despite pain points, bikers are going to bike because it s efficient, economical, and enjoyable
7 CAROLINE I just didn t have time to think about traffic this morning I was already late to my first meeting and the closed road made me even later [with frustration] GOALS + NEEDS PAIN POINTS Age: 32 Occupation: Industrial Designer Income: $80k Residence: San Francisco Education: College Grad Other Info: Works hard, plays hard, bikes hard - Commute efficiency - Rides to multiple destinations - Needs to keep bike and all of its parts - Unpredictable infrastructure - Stress in biking vs no biking - Safety concerns
8 FRANKLIN My co-worker told me I can take my bike on the train and bike to school from there. Sweet! GOALS + NEEDS PAIN POINTS Age: 27 Occupation: High School Teacher Income: $45k Residence: San Francisco Education: Masters in Education Other Info: Weekend musician, daytime statistician - Bike as alternate/addition to transit commute - Rides socially - Rides for enjoyment - Weather - New route = more planning - Different route = unfamiliar territory
9 COMPETITIVE ANALYSIS GOOGLE MAPS WAZE GET THERE BY BIKE Point A to B directions for bike navigation with consideration to bike infrastructure and road type. Outsmarting traffic by collecting and sharing real-time information from drivers. Data sharing component allows users to alert other users of traffic, accidents, police activity, etc. App intends to help commuters get from A to B while providing information or iconography indicating elements that can make a ride bad.
10 USER FLOW, IA, FEATURES
11 PAPER PROTOTYPE
12 USER FLOW FLOWING THROUGH A DAY IN THE [BIKE] LIFE OF CAROLINE HOME wake up silence alarm check commute status + weather route congestion push prompt to open app select suggested alternative route view and absorb route [thought > action] [safe?] contemplate schedule and plan for concert after work open app enter venue address review theft v visual + id safe zones plan to ride + park 2 blocks from venue morning routine bike to work + avoid closures park bike in WORK \\ EOD WORK retrieve bike open app enter venue address map route check conditions bike to show park safely
13 SITE MAP ONBOARDING USER INFO ROUTE FORECAST A TO B NAVIGATION STORE COMMUTE NORMAL VS ALT. ROUTE STEP BY STEP MAP WITH START/END TIME MULTIPLE OPTIONS PUSH NOTIFICATIONS CAUSE OF DELAY TERRAIN MAP STORED RIDES USER CREATED ROUTE MY BIKE THEFT HEAT MAP SERIAL NUMBER PARKING INFO PHOTOS
14 FEATURES FOR MVP ROUTE FORECASTING NAVIGATION THEFT MAPPING A prompt is featured before each commute. It appears to the user before they have to think about opening the app, making it harder to forget to check the route before, thus saving time before and during a ride. Two levels of navigation: A to B; A to B with user detours - where users are able to swipe an extension or reroute though an area that isn t on the direct to point B route. Tertiary feature which incorporates data from reported bike thefts in particular areas and creates a zoomable heat map so users can quickly glance at an area and assess safety relative to bike parking.
15 HI FI PROTOTYPE
16 CONSTRAINTS TIME User has limited time to absorb information before embarking on ride. More time spent looking at the app beforehand = less time available for riding. TECHNOLOGY Step by step directions are difficult to access while biking without creating a safety hazard or requiring use of additional accessories for the bike.
17 NEXT STEPS - Social network integration - Apple watch / wearable integration + direction interface - Real time traffic data reporting - Weather + wind map layer
18 APPENDIX
19 Competitive Analysis Google Maps Direct Strava Indirect Waze Indirect Get There By Bike Direct COMPETITIVE RESEARCH Look & Feel Clean, comfortable, clarity of information Web and app feel different. Basing this on the app.. Clean lines. Interesting light style on record screen and darker interfaces on all of the data organization and social screens. Whimsical and childish. Less of a line weight hierarchy when looking the map. Clean and simple upon initial log-in. Map (Google) with bike info looks cleaner and more connected than Google s bike maps. IA + Ease of Navigation Takes a minute to hop around the app and find things like terrain, satellite. Just updated to move these options to top bar instead of side bar in direction mode. Though two different approaches to navigation layout - in resting mode and in nav mode. Clear how user walks through navigation and directions with pin drops for each step as needed. Information is great - logs a lot of data and presents it in interesting ways to the users. Not as intuitive to navigate. Requires a bit of jumping around to be familiar with transitions from main record page to social feed, route info, etc. A lot of information and features are available and almost hidden to users. Information is great - easy to identify icons on map and link to more information. More difficult to choose route and access directions. Information is overloaded at this point taking the simple route to an extreme of eta, conditions, eta over time if one chooses to leave later. Pretty clear where features are though takes more effort to memorize visual indications and icons. (purple = bike lane; red= bike route; what s the difference?) Includes information for dangerous intersections, stolen bikes (though can t locate icons), sheltered parking, bike friendly businesses. Directions are harder to access and clearly interpret as it is just a list - but the list is there and it allows pin drops for each step of the directions like Google. There is a bookmark category that seems purpose-less. User Goals Point A to B directions. For bikers, least hilly route (though can t find anywhere where this is stated in the app.) Provide users with a system to record and map rides. Sharing is a major component and leads to a pool of rides for users to choose from in planning future rides. Audience is definitely athletes. Heavy focus on training, creating goals, personal best segments, etc. Users experience better routes based on the effects of shared information, outsmarting traffic. Also Waze is adding a new feature to propose shared rides for commuters (less relevant for bike research) Provide information and routes for cyclists to get around the city safely, from point A to parking. It also includes road information (bike lane, shared path, even bike shares). Notable Features Clear indication of routes. Visual hierarchy when in bike mode. Visual distinction of road types in map mode. Social integration feature. Ride recording and mapping. Saving data for future recollection. Logs segments for future self-competition Social integration, accident reporting, weather reports, route predictions based on above, etc. Information indicating stolen bikes, safe parking, dangerous intersections, etc. This is the first app thus far in research to consider all of these things. Product Goals (Value Prop) Provide point A to B directions for bike commuters with consideration to bike infrastructure and road type when putting together routes. Audience is definitely athletes. Heavy focus on training and personal challenges. Social integration/route sharing is also targeted. Outsmarting traffic by collecting and sharing real-time information from drivers. Product was created to help urban commuters get from point A to B with safe directions and sensitivity to some of the elements that can lend a bike rider to being bad (from personal user research) What works well? Route layout, step by step directions. Multiple route options factoring in distance. Visual of road types with click and zoom into street view options. Social integration/sharing capabilities. Data storage, route mapping. Easy to use record screen. Social integration and community generated responses. Easy to identify situations that may be of interest to the user. There are filters for each specific layer of info so the user can choose what appears on their map. The intended information contained in the app really comes close to solving many of the problems cyclists face. It s minimal in design and easy to understand the developer s goals (you can even contact them directly if you have more questions - though shouldnt have to because app should be well enough designed) What can be improved? Can t pull up terrain graph in app directions - only web and hard to find in web. Though information is included in the map for protected lanes, shared road, trails, etc, the graphics are disjointed and don t appear as full routes. Easy to record rides, but a bit more difficult in navigating through them and through the app. Not designed for point to point directions. Routes can be made online and then uploaded, but not available to do in the app. Presents too much information to easily travel through. Especially since it is an app for cars and all navigation and information is combed through while in motion. Because there is so much info, it s more difficult to access critical features - like directions. The visual design, while cutesy, is overwhelming and uncomfortable to move through after coming from a cleaner app (like Google). The navigation through the app needs a little work. Though the intention for the information is clearly there, the visual components that could make it more effective and useful are hard to identify and access. There isn t a clear hierarchy for understanding which layer or category is most critical to the designer of the app.
20 DETAILED PERSONA FRANKLIN Demographic info Age: 26 Occupation: High School Teacher Income: $60,000 Residence: San Francisco Education: MS of Stats Other Info: Weekend musician, daytime statistician Day in the life Franklin just accepted a position as a high school statistics teacher in Mountain View, CA. At the end of his first week, a few of his colleagues invite him to grab dinner and drinks after school on Friday. Franklin has been driving to school from San Francisco, a change from his previous commute which was a short, lovely bike ride across a residential area of the city. Joe, a fellow math teacher, recommends that he take his bike down on the train so they can bike to the restaurant together. Friday, Franklin plans takes Joe s advice and bikes to the train. He checks a map before setting out. Mid-way through his ride, it starts to rain. He never thinks to check because he trusts in the California drought. He pulls over to put on his raincoat and feels safety concerns after noticing a drug deal feet away on the sidewalk. He jumps back on his bike and makes it to the train station. An hour later, he arrives to class a bit wet but is in a cheery mood after having time to read and relax on the train. After work, Franklin and Joe bike to the restaurant together and relive Franklin s successful first week. Key goals Pain points Alternative commute Social integration Riding for enjoyment Weather New route = more planning Different route = unfamiliar territory
21 DETAILED PERSONA CAROLINE Demographic info Age: 32 Occupation: Industrial Designer Income: $90,000 Residence: San Francisco Education: College Grad Other Info: Works hard, plays hard, bikes hard. Day in the life Tuesday morning, Caroline wakes up for work in her downtown San Francisco apartment. She checks her phone and realizes she s late for a meeting that was scheduled at 11pm the night prior. With little time to think, she scrambles to shower, eat, pack her things, and rush to the office. She s going to check-out restaurants in her friend Rachel s new neighborhood after work, so contemplates whether she should bike like usual or take other transport. Last time she was in the area, she had a wheel stolen. With no time to spare, she grabs her bike and flies to the office. Mid-ride she is detoured by traffic, being forced to take unfamiliar side streets. This speed bump causes her to be 15 minutes late for her meeting with no time to stop at the espresso machine. Key goals Pain points Commute efficiency Travel to multiple destinations Keep all of the bike parts Unpredictable infrastructure Stress in biking vs no biking Safety concerns
22 USER FLOW SKETCH FLOWING THROUGH A DAY IN THE [BIKE] LIFE OF CAROLINE HOME [thought > action] wake up silence alarm check commute status + weather notification of route congestion push prompt to open app select suggested alternative route view and absorb route [thought > action] [safe?] contemplate schedule and plan for concert after work open app enter venue address review theft visual + id safe zones plan to ride + park 2 blocks from venue morning routine bike to work + avoid closures park bike in office WORK \\ EOD WORK retrieve bike from office open app enter venue address map route check conditions bike to show park safely
23 FEATURE PRIORITIZATION
24 IA CARD SORTING
25 WIREFRAME SKETCHES
26 ANNOTATED WIREFRAMES
27 ANNOTATED WIREFRAMES
28 ANNOTATED WIREFRAMES
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