Treedome: Una soluzione innovativa per piantare più alberi

Nel contesto attuale di crescente consapevolezza ambientale e impegni per la sostenibilità globale, piantare alberi è diventato un gesto abbastanza comune tra la popolazione e spesso viene effettuato come regalo.
  • Ruolo

    UX/UI Designer

  • Industria

    Sostenibilità

  • Durata

    1 mese

Introduzione

Nel contesto attuale di crescente consapevolezza ambientale e impegni per la sostenibilità globale, piantare alberi è diventato un gesto abbastanza comune tra la popolazione e spesso viene effettuato come regalo.

Sfida

Treedom è una piattaforma leader nel settore della riforestazione e si è posta l'ambizioso obiettivo di piantare 10 milioni di alberi entro il 2025. Purtroppo negli ultimi anni il gesto di regalare un albero ha perso valore e di conseguenza anche la piattaforma. Il nostro obiettivo: sviluppare una soluzione disruptive per coinvolgere le persone a diventare parte attiva nella cura/impegno dell’ambiente.

Metodologia

Per affrontare questa sfida è stato adottato un approccio multidisciplinare, che prevede ricerca approfondita, design thinking in metodologia double diamond e ricerche innovative funzionali per creare un'esperienza che vada al di là delle aspettative degli utenti.

Month 1

Month 2

Month 3

Brief

Next Futures

Horizon scanning

Behavioral Research

Market and Forecast Research

Alternative Future

Storytelling

Sensemaking

Near Futures

Shadowing

Benchmark

Desk research

Customer Journey (as-is)

Benchmark

Desk research

Service ecosystem

Prototyping

Insight

HMW?

Envisioning

Customer Journey (to-be)

Now

Idea Prioritizing

HMW?

Envisioning

Month 1

Month 2

Month 3

Brief

Next Futures

Horizon scanning

Behavioral Research

Market and Forecast Research

Alternative Future

Storytelling

Sensemaking

Near Futures

Shadowing

Benchmark

Desk research

Customer Journey (as-is)

Benchmark

Desk research

Service ecosystem

Prototyping

Insight

HMW?

Envisioning

Customer Journey (to-be)

Now

Idea Prioritizing

HMW?

Envisioning

Month 1

Month 2

Month 3

Brief

Next Futures

Horizon scanning

Behavioral Research

Market and Forecast Research

Alternative Future

Storytelling

Sensemaking

Near Futures

Shadowing

Benchmark

Desk research

Customer Journey (as-is)

Benchmark

Desk research

Service ecosystem

Prototyping

Insight

HMW?

Envisioning

Customer Journey (to-be)

Now

Idea Prioritizing

HMW?

Envisioning

Month 1

Month 2

Month 3

Brief

Next Futures

Horizon scanning

Behavioral Research

Market and Forecast Research

Alternative Future

Storytelling

Sensemaking

Near Futures

Shadowing

Benchmark

Desk research

Customer Journey (as-is)

Benchmark

Desk research

Service ecosystem

Prototyping

Insight

HMW?

Envisioning

Customer Journey (to-be)

Now

Idea Prioritizing

HMW?

Envisioning

Month 1

Month 2

Month 3

Brief

Next Futures

Horizon scanning

Behavioral Research

Market and Forecast Research

Alternative Future

Storytelling

Sensemaking

Near Futures

Shadowing

Benchmark

Desk research

Customer Journey (as-is)

Benchmark

Desk research

Service ecosystem

Prototyping

Insight

HMW?

Envisioning

Customer Journey (to-be)

Now

Idea Prioritizing

HMW?

Envisioning

Next Futures

Imagining the future, it is possible to outline the main aspects that will characterize it:

  • The advancement of AI, enabled by quantum computers with higher than normal computing capabilities;

  • Electric cars with increasing autonomy;

  • The change in the car purchase model, as numerous studies show how the current car sales strategy is changing, focusing more and more on new ownership models, particularly leasing.

About self-driving cars, there has been a feeling of mistrust towards their use in recent years, and Regardingthe percentage of people willing to buy a self-driving vehicle is currently 25%, 10% less than last year. This mistrust can be attributed to 3 main factors (Autonomous driving’s future: Convenient and connected):

  • Improving the safety of the service;

  • The need to test the service firsthand;

  • More information about the technology is needed.

Imagining the future, it is possible to outline the main aspects that will characterise it:

  • The advancement of AI, enabled by quantum computers with higher than normal computing capabilities;

  • Electric cars with increasing autonomy;

  • The change in the car purchase model, as numerous studies show how the current car sales strategy is changing, focusing more and more on new ownership models, in particular leasing.

With regard to self-driving cars, there has been a feeling of mistrust towards their use in recent years, and in fact the percentage of people willing to buy a self-driving vehicle is currently 25%, 10% less than last year. This mistrust can be attributed to 3 main factors:

  • Improving the safety of the service;

  • The need to test the service first hand;

  • The need for more information about the technology.

Imagining the future, it is possible to outline the main aspects that will characterise it:

  • The advancement of AI, enabled by quantum computers with higher than normal computing capabilities;

  • Electric cars with increasing autonomy;

  • The change in the car purchase model, as numerous studies show how the current car sales strategy is changing, focusing more and more on new ownership models, in particular leasing.

With regard to self-driving cars, there has been a feeling of mistrust towards their use in recent years, and in fact the percentage of people willing to buy a self-driving vehicle is currently 25%, 10% less than last year. This mistrust can be attributed to 3 main factors:

  • Improving the safety of the service;

  • The need to test the service first hand;

  • The need for more information about the technology.

Where are we going?

Self-driving vehicles will change the value of travel time and enable everyone to move around autonomously, improving the inclusiveness of the city and promoting individual empowerment. The use of private cars in urban areas will be strongly discouraged in favor of car sharing, all aimed at reducing the impact and economic costs the city's inclusiveness (The future of sustainable urban mobility, Pdf).

Metodologia

Per comprendere ancora più olisticamente l’ampia sfida intrapresa di coinvolgere gli utenti in un nuovo modo oltre a un approfondito studio del termine “Disruptive” sono stati intrapresi una lunga serie di benchmark comparativi, ispirazioni.

Obiettivi di ricerca

At the moment, the general mood is strongly influenced by novelty and the futuristic ideal. Why would people want a self-driving car? Apparently people would use time saved by autonomous driving to sleep, work or read.

Deep with desk research

In addition to research utilizing platforms such as Reddit, Quora, and Google, YouTube emerged as a pivotal resource for remote analysis. Through a comprehensive review of numerous video reports from sources as CNBC, CBS and Marques Brownlee or more institutional resources such as A time of unprecedented change in the transport system (Pdf).

I identified several common mistakes:

  • Parking in temporarily prohibited areas;

  • Stopping in the middle of lanes due to misinterpretation of context;

  • Adopting the right-turn criterion for safety reasons, resulting in longer journeys;

  • Lack of communication with other road users, e.g. cyclists, pedestrians, etc.

In profondità con il benchmark

Per comprendere ancora più olisticamente l’ampia sfida intrapresa di coinvolgere gli utenti in un nuovo modo oltre a un approfondito studio del termine “Disruptive” sono stati intrapresi una lunga serie di benchmark comparativi, ispirazioni.

La scoperta

Attraverso l'analisi dei dati raccolti, abbiamo delineato il profilo di Lorenzo: Lorenzo, un content designer, cerca costantemente ispirazione e novità. Ama la tecnologia ed è sempre il primo a scoprire le ultime app, trovando soluzioni creative per semplificare le sue giornate. Tuttavia, nel suo tempo libero, vuole anche contribuire al pianeta con azioni più verdi e sostenibili, integrando la tecnologia nella vita quotidiana attraverso innovative esperienze digitali. D'altro canto, Lorenzo combatte con gli effetti di uno stile di vita eccessivamente connesso: dipendenza, stress e blocco creativo risultante che ostacolano il suo lavoro. Il suo rimedio? Momenti di relax, isolamento e disconnessione dal mondo digitale, che cerca sempre di più.

"I want to be able to leave whenever I want"
  • The extension of home

    Roaming
    La cupola si sposterà periodicamente tra varie piazze e fiere italiane per diffondere la missione di Treedom e offrire ai nuovi utenti un momento di immersione e tranquillità riportando la natura negli spazi urbani.

  • A safe haven

    Interattivo
    L'utente può personalizzare l'esperienza attraverso il suo dispositivo con la sezione Scegli il suono della tua foresta.

La visione

How could we tailor the experience to the user?

Treedhome è una cupola che offre all'utente un'esperienza coinvolgente grazie a pareti a LED che riproducono video e suoni della natura in tempo reale. ‍

Per comprendere ancora più olisticamente l’ampia sfida intrapresa di coinvolgere gli utenti in un nuovo modo oltre a un approfondito studio del termine “Disruptive” sono stati intrapresi una lunga serie di benchmark comparativi, ispirazioni.

L'esperienza della Cupola:

La caratteristica principale di Treedhome è la cupola, una struttura innovativa e sostenibile. All'interno di questa cupola, gli utenti possono immergersi nella natura.

Service ecosystem

To analyze the various stakeholders involved in the autonomous vehicle service and consider the addition of new actors specialized in service customization, I have created a map of the current ecosystem. At the center of this map, I have placed the passenger of the autonomous vehicle, examining on one side the entire industrial sector and on the other the actors who interact directly with the user inside the vehicle.

The landscape of actors in the self-driving vehicle service includes several figures, such as:

  • Managers and regulators of the market and functional aspects (legislation and industry)

  • Road users (pedestrians, cyclists, etc.)

  • Drivers

For the taxi personalisation service, it is planned to introduce service stations where vehicles will be prepared by robots, which will work intensively to meet the demand for vehicle personalisation.

To analyze the various stakeholders involved in the autonomous vehicle service and consider the addition of new actors specialized in service customization, I have created a map of the current ecosystem. At the center of this map, I have placed the passenger of the autonomous vehicle, examining on one side the entire industrial sector and on the other the actors who interact directly with the user inside the vehicle.

The landscape of actors in the self-driving vehicle service includes several figures, such as:

  • Managers and regulators of the market and functional aspects (legislation and industry)

  • Road users (pedestrians, cyclists, etc.)

  • Drivers

For the taxi personalisation service, it is planned to introduce service stations where vehicles will be prepared by robots, which will work intensively to meet the demand for vehicle personalisation.

To analyze the various stakeholders involved in the autonomous vehicle service and consider the addition of new actors specialized in service customization, I have created a map of the current ecosystem. At the center of this map, I have placed the passenger of the autonomous vehicle, examining on one side the entire industrial sector and on the other the actors who interact directly with the user inside the vehicle.

The landscape of actors in the self-driving vehicle service includes several figures, such as:

  • Managers and regulators of the market and functional aspects (legislation and industry)

  • Road users (pedestrians, cyclists, etc.)

  • Drivers

For the taxi personalisation service, it is planned to introduce service stations where vehicles will be prepared by robots, which will work intensively to meet the demand for vehicle personalisation.

Now

How can we improve the self-driving car experience today?

Among the problems that emerged during the research, I decided to prioritise:

  • The service areas of Waymo and other competitors are currently limited and sometimes do not allow passengers to reach their areas of interest.

Interaction and communication

Self-driving vehicles seem to be able to accurately detect the presence of actors in the context in which they are moving, and the intelligence they use processes the precedence of other traffic actors, allowing the most vulnerable pedestrian, such as kids, elderly people or with impairments and cyclist to move safely.

To improve communication between vehicles and people, it would be necessary to introduce elements that allow the actions of these vehicles to be interpreted from the outside. All of this could be achieved with the use of lights with acoustic signals.

Limitation

In addition to not covering interstate routes, self-driving vehicles do not cover all areas of the city, as they are still in development projects.

In fact, the experience of many users is of incomplete journeys due to the lack of interaction of the vehicle with certain areas not covered by the service, resulting in the negative experience of having to reach their destination by other means. In light of these experiences, it is worth considering the possibility of providing charging stations and parking spaces for secondary vehicles such as bicycles, electric scooters, etc., so that users can reach their destination quickly and safely.

Los Angeles

Los Angeles

Phoenix

Risultati

Altri progetti

Altri progetti

Altri progetti