9.5 Group 1 Apps for Good Competition Entry 2015

Weather Wardrobe

By Ashvin, Matthew, Sam and Toby

The Weather Wardrobe is an Android App to help busy people plan what to wear by

recommending outfits based on the weather forecast for that day.

What is it?

Ideal for busy people who don’t have time to check the weather forecast each morning

Outfit suggestions make it simple and quick to decide what to wear based on what’s in your wardrobe

Dress appropriately based on the weather forecast and the suitability of clothes to that type of weather

What does it do?

User Research

We surveyed a range of possible users for their feedback on our app

https://www.surveymonkey.com/s/K8VSLMC

We received 37 responses from a range of people-- Male and female

-- Young and old

Survey results

The survey showed that 62% of respondents were positive about the

app and 81% replied that they might use the app if it was available

today. Currently 75% of respondents use an app to check the weather

at least some of the time, but only 66% ever plan what clothes to wear,

which presents an opportunity to develop something new for them.

Key insight statement(s)

According to our survey, people believe our app will solve a problem for them in a new and different way.

It will help me using my clothes in new combinations but

also ensure I'll use all my clothes

Easy to get nice looking outfits which are practical without

searching my wardrobe for things

which look nice

Time saving. Would save me checking the BBC weather site and then having to figure

out what to get ready

So I wouldn't have to look out the window whilst I'm naked, or

shout down the stairs to my mum

Its a good idea and combines 2 different

problems

Key insight statement(s)

According to our survey, people think the following features would be useful in the app:

• Assuming you use gps/location tracking and access weather information from somewhere. What about

changeable weather? • If the weather is going to be wet in the morning but sunny in the afternoon, I would like to see the suggestions give

you a warning eg to wear a T-shirt but also take a coat or umbrella for the morning. Also, weather check for where you are going rather than where you are now

• It would be nice if it was for multiple country's so you could use it if you were on holiday.• I think an app that automatically checks the weather and then recommends what you should be thinking of wearing

makes sense. Eg if below x degrees wear a coat, gloves, scarf. If it's wet a raincoat or umbrella, if it's sunny

sunglasses etc. The app should push message these tips rather than needing to open the app to get the recommendation.

• If you could add in frequency of outfit, that would be helpful. For example, it's a perfect day to wear outfit A or B, but you've most recently worn B, so choose A.

• manually chose where the weather forecasts are from and constant update from normal weather forecasts. rate /10 how good an outfit was so the app knows whether to suggest the outfit again or not use it

• a more general option that does not involve taking pics of your clothes

• I would like to be able to create a wardrobe from checklists, rather than photos

• When you buy new items scan bar code instead of photographs.

http://youtu.be/DbgleO_6ba0

Insert video here:

Pop up notifications

Removes the need to open the app in

order to see a summary of weather and

recommendations for the day

Simple Screens

Makes the app easy to use, and clearly

shows the essentials and main point of that

particular screen.

A Forecast of Weather

Means that the app can be used to pack for

holidays, as well as every-day use.

Feasibility

• Our app only requires the use of an external database, and the rest can easily be stored on the mobile device

• We would not need a datacentre as the weather is a widely available database.

• The only foreseeable problem is the personalised wardrobe option, as this would need many added information about the item that has been manually entered, and the process could become exceptionally lengthy and many users would not want to use the feature.