#problemdefinition

For the next phase trying to solve world peace, our team chose to utilize the brainstorming method utilized during the IPR to put down some of the ideas we had about the root of the problems in world democracies.  With the broad scope of our initial research, this allowed us to draw from our individual research to present problems we noticed so that we could see where there was alignment across topics.  We utilized Miro software (rebranded this week from Real Time Board) to provide this collaboration so each of us had the opportunity to put down all of our thoughts.  Once all of the thoughts were placed, we met via Zoom to affinitize the results so we could narrow our focus towards a problem we felt had the most impact.  We reviewed our results, noted where some ideas fell into multiple categories, and chose a common thread we believed to be at the crux of each of the committees we reviewed in the analysis phase.  We each included similar problems, so it was seamless to transition to a singular focus based on our posts, voter representation.  We further narrowed our problem to focus on electoral integrity.

Addison

Insight: People like to experience as much of a city as possible when they visit

HMW Questions: How might we help a traveller make the most of their time when they visit a city they know little about?

Insight: People want to have a more authentic experience in a new city but that is hard to do if you don’t know locals. 

HMW Question: How might we help a traveller connect with locals so they can have a more authentic experience?

Insight: People want recommendations on what to do in a new city from someone who knows their tastes.

HMW Question: How might we personalize a traveller’s experience so they don’t waste time doing things they won’t enjoy?

Addison’s Problem Definition: Visitors to a new city need a way to have an authentic experience that is personalized to their tastes so that they don’t waste time doing touristy things they won’t enjoy.

Max

Insight:Most tour guides have the same recommendations for all travelers.

HMW Questions: How might we connect individuals with others of similar interests so when they travel they can get more personal recommendations.

Insights: Many people have different online personas vs real life personas.

HMW Questions: How might we assess a traveler’s priorities to enable a curated list of things to do.

Insights: Cities change quickly, locals value being “in the know” about finding a new gem.

HMW Questions: How might we compel locals to share parts of their life to complete strangers?

The problem: Travel recommendations are not curated to the interests of the end user.

Looking at the competitive analysis of all the other travel sites there is no way to filter through the recommended places to visit. There is categorical data, like price, location, type of service but none are directed at the end user. With the wealth of knowledge about the user already existing via social networking there is the capability to match people with people or places who share interests/ life styles.

Ting

Insight: People have different tastes and values. It is hard to find people with common interests and similar tastes.

HMW Questions: How might we help people with similar tastes connect with each other?

Insight: People enjoy different activities when visiting a new city. 

HMW Questions: How might we help visitors find the right activity for them in a new city?

Insight: People have different budgets for travelling. 

HMW Questions: How might we suggest the best experience within visitors’ budgets?

Problem Definition:

It is hard for visitors to discover a wide-range of places and activities in a new city, and hard to know which ones are the right ones to them within budgets. It is also difficult to create opportunities for people with similar tastes to meet offline.

We need a platform that knows each person’s interest and makes smart suggestions based on different tastes and budgets, and connects people with similar tastes to double the fun.

Nana

Insight: People have varying time and costs thresholds depending on the activity and location.

HMW Questions: How might we include variables like time and costs so travelers can figure out the activities they want to experience?

Insight: Travelers want to maximize their experiences by prioritizing certain activities (mixing both local vs sightseeing opportunities) to a ratio they prefer.

HMW Questions: How might we consider the ratio of local vs sightseeing experiences so travelers can maximize their foreign travel experience?

Insight: Tourists want to propose recommended sights, locations, or experiences based on their tastes?

HMW Questions: How might we recommend sights, locations and/or experiences so travelers can travel in (or out) of their comfort zone.

Problem Definition:

Build a recommendation engine that ingests a lot of factors about a location, experience or sight with flexible variables like time and costs so travelers can maximize their trip abroad based on their preferences and profile information.

Consensus Problem Definition

Addison Visitors to a new city need a way to have an authentic experience that is personalized to their tastes so that they don’t waste time doing touristy things they won’t enjoy.

Max Travel recommendations are not curated to the interests of the end user.

Looking at the competitive analysis of all the other travel sites there is no way to filter through the recommended places to visit. There is categorical data, like price, location, type of service but none are directed at the end user. With the wealth of knowledge about the user already existing via social networking there is the capability to match people with people or places who share interests/ life styles.

Ting It is hard for visitors to discover a wide-range of places and activities in a new city, and hard to know which ones are the right ones to them within budgets. It is also difficult to create opportunities for people with similar tastes to meet offline.

We need a platform that knows each person’s interest and makes smart suggestions based on different tastes and budgets, and connects people with similar tastes to double the fun.

Nana Build a recommendation engine that ingests a lot of factors about a location, experience or sight with flexible variables like time and costs so travelers can maximize their trip abroad based on their preferences and profile information.

In what way might I...

Enforce more structure in my life

Stick to a more orderly work schedule

Plan in advance for my commute so that I’m not always rushing to catch the train

Avoid missing my train to/from work

Reduce the risk of forgetting or losing my commuter card

Create a better carrier for my commuter card

***Make access to my commuter card more convenient***