Final Presentation - Cloudinaryres.cloudinary.com/general-assembly-profiles/image/... · Final...

Post on 26-Jul-2020

2 views 0 download

Transcript of Final Presentation - Cloudinaryres.cloudinary.com/general-assembly-profiles/image/... · Final...

fate

Final Presentation

Fate logline

Mockup in supermarket

fateSaves you money by

stopping you buying food

you just throw away.

The current supermarket experience

Hopes and dreams

• We shop in hope that

we’ll eat this stuff

• We buy in to the dream of

special offers – deals are

good and save us money.

But time and again….

Reality bites

From research, this is how we shop…

1.) We rush in, no list and no plan.

Just knowing we need …. stuff.

2.) Special offer on fruits and

vegetables – yeah! We’re going to be healthy this week!

3.) Do we already have this? Let’s get

it anyway….

4.) Rinse and repeat. On and on, we buy with our

hopes and dreams. Succumbing to our

whims, and supermarkets’ selling

pressures.

Two main personas. First one:

Two main personas. Second one:

Both personas can be incorporated in to a model for why they waste

Reality bites – a vicious circle

£12.5bn wasted by UK public each year

40% of what we buy is special offers

£60 average family waste every

month by throwing food away.

Does reality have to be this relentless monster that ruins

our hopes and dreams?

What if we learn from how we waste,

to inform how we shop?

Stop buying food we just throw away.

Business objective: sell a smart food bin & app

User need: stop buying food I just throw away

£199

After a few months I’ll be

saving money…

How fate works:

1.) Scan shopping receipts

(shop data, amount, prices, quickly learnt)

2.) Track waste with smart bin

(waste cross referenced with shopping data)

3.) Feedback probable fate of food to user

(when they’re shopping, to inform them whether or not it’s worth

buying – do they need it? Will they, in all reality, use it?)

Some user flows:

1.) Scan shopping receipts

Some user flows:

2.) Track waste

Some user flows:

3.) Get feedback

After sketching and iterating…

And some wireframes…

I made a prototype…

So now we can revisit the supermarket experience,

but this time with fate.

v https://marvelapp.com/11dc15j

The scenario is it’s Sunday, you’ve just arrived at your local supermarket

to do a big shop, and you get a notification on your phone…

?!Prototype feedback

Shop mode clarification

• Can each shop be a ‘thing’?

• Better flow in to Scan mode

Clearer information layout

Expand upon user flow and ‘in-points’

Other notifications

and user flow

start points…

Making your

current shop

clearer, more of its

own ‘thing‘.

Improving flow in to Scan mode.

Improving information layout so that

feedback is clearer, more intuitive.

In summary: how fate would fit in to, for example, Google’s growing smart home tech scene.

But let’s not forget our users, and how fate can easily fit in to their lives. The vicious circle

has now become a feedback loop, that gets stronger the more they use it.

And ideas of how the fate platform could be expanded upon…

Thanks for listening