Triphunt is the first mobile outdoor platform, which connects and analysis different data systems in destinations and creates personalised outdoor experiences.
The experience of nature is the greatest motivation for outdoor athletes and is often disturbed by overcrowded spots. The research and planning of new outdoor trips takes a long time, as the information is spread on different platforms, unreliable and not detailed enough. Moreover the user doesn’t get individual information on site. Collective planning with friends or family is not possible in current market solutions.
The platform creates personalised trip suggestions with detailed information for the next outdoor adventure. The suggestions are based on location, weather, equipment, reviews, friends, interests and the experience level. With the social community, users are able to plan collectively with friends and family, connect with other athletes and get inspired for the next adventure.
Since I was working on the project alone, I was completely in charge of the whole research, market analysis, user interviews, concept, branding, UX/UI design, development, financial plan and business plan. I’ve created the app design and a visual click dummy and also developed a first technical proof of concept in React and React Native to see if the idea could work with existing API’s. Besides the product development I also build a first landing page which collected mail signups and produced a short product trailer.
There were many challenges to tackle in the market. The outdoor market plays an important role in tourism. There are already lot’s of different apps in the market, which all try to solve an issue. Some are focussed on one type of sports, some try to offer tours. None of the major apps offer personalised experiences. They are all just small pieces of a trip planning activity, but don’t offer a fully comprehensive and easy planning. During the guest journey, the planning step plays an important role and users complained about the amount of spended time for this step. Planning should be fun, easy and fast.
One of the major issues in outdoor tourism is overtourism. Overtourism destroys the experience of nature, as there are too many people at the same location at the same time. Therefore it was important to include a solution, which automatically decreases the problem of overtourism.
Also within destinations there are many isolated software solutions, which save guest information. Combining the data is is a hidden gem for destination managers.
To understand the outdoor market I did a separate research project before developing the concept of Triphunt. In the research I analysed the change of the digital guest journey, studied the pains of brands and destinations and also how they are tackling digitalisation. Moreover I did a huge user survey, which collected lot’s of feedback and information from over 450 outdoor sports enthusiasts. The goal of the research was to find new potentials for innovation in the digital outdoor tourism and wether a combination of brands and destinations would help to increase the guest experience. The findings of the research shaped the ground for the concept of Triphunt.
It was also crucial to analyse the market competitors and the general outdoor market sales figures, to create a working business model.
Moreover I was searching for existing API’s in destination software to accumulate guest data and create personalised tour suggestions. Open API’s play an important role for the product to work.
After the intial research I started to work on the concept, the ux/ui design and also wrote the businessplan. Since I was working alone, I needed quick feedback loops, which I setup with some of the survey attendees. This helped to iterate on the visual design and flows to build the best possible solution. Furthermore it was important to test the idea and concept with real data. Therefore I’ve build a technical proof of concept with React and connected the Outdooractive API for tours, the weather API for weather information, MEWS API for guest information and the Shopify API for gear suggestions.
The proof of concept was successful, since it proved that it was possible to use route and weather information to suggest fitting outdoor gear for different users. I was able to combine destination and outdoor brand information to a new planning experience.
Users can choose their experience level, filters the suggested tours based on the level.
Selecting a destination also works as filter for the final trip suggestions.
Choosing a trip date helps to solve the overtourism issue. Depending on the selected dates, users will only see trips, which are not planned by many others at the same time.
Inviting friends opens a group for the planning. Groups are able to vote for trips, chat and see the packing list of outdoor gear from each group member. Past trips of friends also add another filter to the suggested tours, so everyone can experience something new.
List of suggested tours depending on the selections before. Group members can leave votes for favorite tours. You can also see which friends already did this tour to ask them about any tips or experiences.
Packing list of gear for the tour from each group member.
Single view of a tour, which contains pictures, different map views, weather maps and information, suggested gear and reviews.
Single view of gear, which included basic information, friends who own it and also the possibility to buy the item from selected online stores.
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