127
Apps as Machines @AppsAsMachines @FHPotsdam Hannes Jentsch Martin Jordan

Apps as Machines — at FH Potsdam

Embed Size (px)

Citation preview

Page 1: Apps as Machines — at FH Potsdam

Apps as Machines@AppsAsMachines@FHPotsdam

Hannes JentschMartin Jordan

Page 3: Apps as Machines — at FH Potsdam

What is the ‘internet of things’?

Question

Page 4: Apps as Machines — at FH Potsdam

Definition

The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure.

”— Wikipedia, Internet of Thingshttp://en.wikipedia.org/wiki/Internet_of_Things

Page 5: Apps as Machines — at FH Potsdam

Definition

It seems to mean everything and nothing. Like, is it RFIDs in airports to track luggage, combine harvesters driven by town-wide WiMAX, or web-connected receipt printers for the home? Too much.

”— Matt Webb / @Genmon, BergCloudhttp://blog.bergcloud.com/2014/04/02/four-types-of-iot/

Page 6: Apps as Machines — at FH Potsdam

Which devices come to your mind?

Question

Page 7: Apps as Machines — at FH Potsdam

Examples

FuelbandPebble

Apple Watch

Wearables

SonosApple TV

Chromecast

Media

SmartthingsBelkin WemoPhilips Hue

HomeAutomation

WithingsNest

Cloudwash

SmartAppliances

Source: Bergcloud / ‘Four Types of IoT’http://blog.bergcloud.com/2014/04/02/four-types-of-iot/

Page 8: Apps as Machines — at FH Potsdam

e.g. SmartThings

Page 9: Apps as Machines — at FH Potsdam

What do they do for us?

Question

Page 10: Apps as Machines — at FH Potsdam

Collaborative brain writing

Page 11: Apps as Machines — at FH Potsdam

ControlOrganisation

Business

AutomatisationHealth

Connectivity

Unsorted

Entertainment

Collaborative brain writing

Page 12: Apps as Machines — at FH Potsdam

Why a‘machine’?

Question

Page 13: Apps as Machines — at FH Potsdam

Expanding the definition of ‘machine’

Page 14: Apps as Machines — at FH Potsdam

• expanding the definition of ‘machine’: a physical thing that does a job, that fulfills a need (apps generally do the job of something we had before)

• something tangible, which affords us more opportunities for engagement

Page 15: Apps as Machines — at FH Potsdam
Page 16: Apps as Machines — at FH Potsdam

• engagement with a broader spectrum of our senses

• which in turn engage a broader spectrum of our cognition

• which build deeper, richer memories

Page 17: Apps as Machines — at FH Potsdam
Page 18: Apps as Machines — at FH Potsdam

• breaking down popular apps, finding the jobs they do

• imagining those jobs being done by a ‘machine’

• capturing the experiences these ‘machines’ produce and dwell on how we can bring more of those experience to the Things future

Page 19: Apps as Machines — at FH Potsdam
Page 20: Apps as Machines — at FH Potsdam

As we start to make Apps as Machines, what are the building blocks of rich physical experiences we can draw from?

Hypothesis

A physical experience offers usso many opportunities for cognitive,and thus, emotional engagement.

Page 21: Apps as Machines — at FH Potsdam

Settingtheir jobs to be done into context

Agenda

Solvingthe job byleveraging more human capabilities

Pitchingyour machine

Discovering what apps and their services do for us

Page 22: Apps as Machines — at FH Potsdam

Uncovering what Dropbox does for us …

Page 23: Apps as Machines — at FH Potsdam

• in order to translate the apps into useful machines we need to understand what apps & services are doing:

- car2go gets you from A to B

- a drill hammer helps you to hang a painting on the wall

- Pinterest supports you in collecting and remembering things

Uncovering what Dropbox does for us …

Page 24: Apps as Machines — at FH Potsdam
Page 25: Apps as Machines — at FH Potsdam

APPS AS MACHINES — Uncovering the jobs behind

Dropbox lets you bring all your photos, docs, and videos anywhere and share them easily. Access any file you save to your Dropbox from all your computers, iPhone, iPad, and the web. With Dropbox you’ll always have your important memories and work with you.

Dropbox’s jobs-to-be-done*

Dropbox

— Jobs-to-be-done describe the tasks that a product or service is carrying out. People don’t just buy products or just want to use a certain service. They ‘hire’ them to do a job.

For example: Car2Go gets you from A to B. The drill hammer helps you to hang a painting on the wall. Pinterest supports you in collecting and remembering things. — @ClayChristensen, http://www.christenseninstitute.org

description and screens from Apple AppStore

have my documents always with me

retrieve my documents wherever I need them

secure copies of important documents

show photos to my friends & family

collaborate with my colleagues

store my memories of important moments

Page 26: Apps as Machines — at FH Potsdam

Definition

— @ClayChristensen, Professor for managementhttp://www.christenseninstitute.org/

Jobs-to-be-done describe the tasks that a product or service is carrying out. People don’t just buy products or just want to use a certain service. They ‘hire’ them to do a job.

Page 27: Apps as Machines — at FH Potsdam

What is thetask of wine?

Question

Page 28: Apps as Machines — at FH Potsdam

Source: Laurence Veale / ‘The jobs wine is hired for’https://medium.com/@laurenceveale/the-jobs-wine-is-hired-for-272a929ea8be

How most wines are organised in wine shops

Page 29: Apps as Machines — at FH Potsdam

Source: Laurence Veale / ‘The jobs wine is hired for’https://medium.com/@laurenceveale/the-jobs-wine-is-hired-for-272a929ea8be

Organising the retail space around a specific job: to make dinner a little better

Page 30: Apps as Machines — at FH Potsdam

Source: Laurence Veale / ‘The jobs wine is hired for’https://medium.com/@laurenceveale/the-jobs-wine-is-hired-for-272a929ea8be

Organising the retail space for a second job: to look neither cheap nor foolish

Page 31: Apps as Machines — at FH Potsdam

Your task

Set up your group

Page 32: Apps as Machines — at FH Potsdam

Your task

6 jobs each3 apps 1 day1 user

Page 33: Apps as Machines — at FH Potsdam

Interview for Empathy

Ask why.

Never say “usually” when asking a question.

Encourage stories.

Look for inconsistencies.

Pay attention to nonverbal cues.

Don’t be afraid of silence.

Don’t suggest answers to your questions.

Ask questions neutrally.

Don’t ask binary questions.

Only ten words to a question.

Only ask one question at a time, one person at a time.

Make sure you’re prepared to capture.

A.school (2 010): bootcamp bootleghttp://dschool.stanford.edu/wp-content/uploads/2011/03/BootcampBootleg2010v2SLIM.pdf

Page 34: Apps as Machines — at FH Potsdam

APPS AS MACHINES — Your first task

Investigation

NAME OF THE APP:

JOBS OF THE APP:

YOUR USER:

DISCUSSED APPS:

Satisfaction:

Satisfaction:

Satisfaction:

Satisfaction:

Satisfaction:

Satisfaction:

Situation:

Situation:

Situation:

Situation:

Situation:

Situation:

Great

over age of 55 and using a smartphone daily

grew up outside of Europe

young mother or father

under the age of 18, still going to school

flying more than 3 times per month

small business owner with a physical store

handicapped (with impact on everyday life)

Great

Great

Great

Great

Great

Just right/ok

Just right/ok

Just right/ok

Just right/ok

Just right/ok

Just right/ok

Not really satisfying

Not really satisfying

Not really satisfying

Not really satisfying

Not really satisfying

Not really satisfying

Page 35: Apps as Machines — at FH Potsdam

APPS AS MACHINES — Your first task

Investigation

NAME OF THE APP:

JOBS OF THE APP:

YOUR USER:

DISCUSSED APPS:

Satisfaction:

Satisfaction:

Satisfaction:

Satisfaction:

Satisfaction:

Satisfaction:

Situation:

Situation:

Situation:

Situation:

Situation:

Situation:

Great

over age of 55 and using a smartphone daily

grew up outside of Europe

young mother or father

under the age of 18, still going to school

flying more than 3 times per month

small business owner with a physical store

handicapped (with impact on everyday life)

Great

Great

Great

Great

Great

Just right/ok

Just right/ok

Just right/ok

Just right/ok

Just right/ok

Just right/ok

Not really satisfying

Not really satisfying

Not really satisfying

Not really satisfying

Not really satisfying

Not really satisfying

Page 36: Apps as Machines — at FH Potsdam

— Theodore Levitt, American economisthttp://hbr.org/web/special-collections/insight/marketing-that-works/marketing-malpractice-the-cause-and-cure

People don’t want to buya quarter-inch drill.They want a quarter-inch hole!

Page 37: Apps as Machines — at FH Potsdam

Who is your user?Which apps is s/he using?

What are their ‘jobs’?

Tell

Page 38: Apps as Machines — at FH Potsdam

Outcome

Page 39: Apps as Machines — at FH Potsdam

Outcome

Page 40: Apps as Machines — at FH Potsdam

Focus

The product analysis, design and sale should focus on:

developing the product

asking what users want

matching market trends

understanding the jobs that users try to get done

Source: Clement Génin, Jobs-to-be-done – A goal-driven solution frameworkhttp://www.slideshare.net/ClementGenin/jobstobedone

Page 41: Apps as Machines — at FH Potsdam

Focus

The product analysis, design and sale should focus on:

developing the product

asking what users want

matching market trends

understanding the jobs that users try to get done

Source: Clement Génin, Jobs-to-be-done – A goal-driven solution frameworkhttp://www.slideshare.net/ClementGenin/jobstobedone

Page 42: Apps as Machines — at FH Potsdam

Rethink

Video shop A Video shop B Video shop C

Who’s the competitor of a video shop?

Page 43: Apps as Machines — at FH Potsdam

Rethink

Try to see beyond the obvious, direct competition

Concert FriendsTelevision

Page 44: Apps as Machines — at FH Potsdam

Rethink

What do you people like or dislike about them?Why are they preferring other solutions over yours?

Concert Friends

Live Social

Television

Free

Page 45: Apps as Machines — at FH Potsdam

Rethink

Jobs remain valid over time.What changes is the solution people use to get it done.

Entertainingin the evening

Page 46: Apps as Machines — at FH Potsdam

Disrupt

Video shop Streamingservice

Page 47: Apps as Machines — at FH Potsdam

• use new ways of thinking to get to fresh solutions

• trick yourself, surpass your habits

• start with user needs, not product solutions

Page 48: Apps as Machines — at FH Potsdam

Settingtheir jobs to be done into context

Agenda

Solvingthe job byleveraging more human capabilities

Pitchingyour machine

Discovering what apps and their services do for us

Page 49: Apps as Machines — at FH Potsdam

View

We frame every design problem in a Job, focusing on the triggering event or situation, the motivation and goal, and the intended outcome.

”— Paul Adams, @Paddayhttp://blog.intercom.io/the-dribbblisation-of-design/

Page 50: Apps as Machines — at FH Potsdam

Rethink

The context defines what is needed to perform a job

Getting fromhome to the office

Page 51: Apps as Machines — at FH Potsdam

Goal-directed task analysisto investigate needs depending on situation and goals

SituationRaining outside

GoalGetting tothe office

NeedGetting therein time

NeedStayingdry

SituationHellish hot outside

GoalGetting tothe office

NeedNot gettingsweaty

Page 52: Apps as Machines — at FH Potsdam

+ + + + +

Situation

Monday

Morning

RainAlarm

didn’t

ring

Usually

gone

at tha

t tim

e

Car in re

pair

Contextualise

The better you can define the situation,the better you can design the solution against

Page 53: Apps as Machines — at FH Potsdam

When

Wh

ere

Who

H

ow

Wh

at

season month weekday

daytime

occasion

location

type

category

attrib. proƫle/mode

social

devic

e

m

otio

n

u

ser a

ct.

rou

tine

tr

aƯc

fa

cebo

ok

c

ollec.

weather

Routinely used route

Routinely visited place

First time visit

Unknown area

Known area

…Historical traƯc around location

Congestion/incidents on route

Congestion/incidents around loc.

…Visited by friends

Visited by me

Popular on facebook

Liked by friends

Liked by me

…In popular collection

In my friends collection

In my collection…

FreezingCool

Mild

Warm

HotNight

DayStorm

ySnow

yRainy

FoggyCloudy

Clear W

et seasonD

ry seasonW

interAutum

n

Summ

er

Spring

Janu

ary

Febr

uary

Mar

chAp

rilM

ayJu

neJu

lyAu

gust

Sept

embe

rO

ctob

erNo

vem

ber

Dece

mbe

r

Mon

day

Tues

day

Wedne

sday

Thur

sday

Frida

ySa

turd

ay

Sunday

Morning

Noon

Afternoon

Evening

Night

Sunrise

Sunset

At a planned appointment

Appointment scheduled in x hours

Leaving

In transit

Arriving

Early in month

Late in month (f.ex salary)

Commute

Travel

OutdoorIndoorNear POI of cat. XNear POI cluster of cat. XMoving towards X

Distance to destinationDistance to POI…

On streetIn buildingIn/at venue In parkOn mountainOn water

Airport

Department store

HotelCafe

RestaurantATM

Leisure

PT stationSightMall

Parking space

Junction

Highway…

Price range

Opening hours

Available parking…

…Com

mut

er

City

Dw

elle

r

Trav

eler

Age

30-3

9

Age

18-2

9

Age

< 18

Mal

e

Fem

ale

…With

ano

nym

ous

crow

d

With

kno

wn p

eopl

e

Alon

e

…Ro

aming

activ

e

Via 3G

etc

Via B

lueto

oth

Via W

iFi

Deskto

p

TabletPhone

…Asce

nding/descending

Trajecto

ry/bearing/direction

Driving WalkingStill

…Using app since 1d/1w/1m

Calculated a route to/from

ReviewedShared to/byCollected

Searched for

…Routine follow up action when x Situation

Retool

Source: HERE 2 013

Page 54: Apps as Machines — at FH Potsdam

Reconsider

thinkcontexts

replacepersonas

Page 55: Apps as Machines — at FH Potsdam

Amazon Dash

Page 56: Apps as Machines — at FH Potsdam

View

Often, because people are so focused on the who and how, they totally miss the why. When you start to understand the why, your mind is then open to think of creative and original ways to solve the problem.

”— @AlanKlementhttps://medium.com/the-job-to-be-done/af7cdee10c27

Page 57: Apps as Machines — at FH Potsdam

Rephrase

Formulate each job into a statement (or job story)

When I want to So I canSituation Need Goal

Page 58: Apps as Machines — at FH Potsdam

Benefit from Job Stories

Describe areal user’s need

in context

Validatedesign

solutions

Communicatethe design task

Page 59: Apps as Machines — at FH Potsdam

The right machine for …

Adam31, European traveller ona trip through South Korea

Page 60: Apps as Machines — at FH Potsdam
Page 61: Apps as Machines — at FH Potsdam

Your task

7 Minutes1 Story1 App

Page 62: Apps as Machines — at FH Potsdam

APPS AS MACHINES — The right machine for …

31, European traveller on a trip through South Korea

JOB-TO-BE-DONE

STORY*

Adam

When (situation)

I want to (need)

So that (goal)

— “Job Stories are great because it makes you think about motivation and context and de-emphasizes adding any particular implementation. Often, because people are so focused on the who and

how, they totally miss the why. When you start to understand the why, your mind is then open to think of creative and original ways to solve the problem.” — @AlanKlement, https://medium.com/the-job-to-be-done/af7cdee10c27

show photos to my friends & family

Page 63: Apps as Machines — at FH Potsdam

APPS AS MACHINES — The right machine for …

31, European traveller on a trip through South Korea

JOB-TO-BE-DONE

STORY*

Adam

When (situation)

I want to (need)

So that (goal)

— “Job Stories are great because it makes you think about motivation and context and de-emphasizes adding any particular implementation. Often, because people are so focused on the who and

how, they totally miss the why. When you start to understand the why, your mind is then open to think of creative and original ways to solve the problem.” — @AlanKlement, https://medium.com/the-job-to-be-done/af7cdee10c27

I am on my island round trip

where I travel with a lot of stuff in a small backpack

and only unreliable connection to the Internet

I can share my photos with friends

and family.

easily pick photos I took that day and

sync them whenever connected to a WiFi

Page 64: Apps as Machines — at FH Potsdam

What is your main job?What is the situation?What are the needs?

Write

Page 65: Apps as Machines — at FH Potsdam

Outcome

Page 66: Apps as Machines — at FH Potsdam

Outcome

Page 67: Apps as Machines — at FH Potsdam

Settingtheir jobs to be done into context

Agenda

Solvingthe job byleveraging more human capabilities

Pitchingyour machine

Discovering what apps and their services do for us

Page 68: Apps as Machines — at FH Potsdam

View

Those digital updates have little sympathy for any divisions of time or space we might to impose upon our days. We may find that we are ranking the ‘needs’ of our machines above our own.

”— @TomChatfieldhttp://tomchatfield.net/2012/05/09/how-to-thrive-in-the-digital-age/

Page 69: Apps as Machines — at FH Potsdam

Cloudwash

Page 70: Apps as Machines — at FH Potsdam

Input for your creation

Page 71: Apps as Machines — at FH Potsdam
Page 72: Apps as Machines — at FH Potsdam

Consider

• Think touch, scent, vision, sound, taste – and beyond

• How can your machine be superior to an app that does the same job?

• How can they make use of our natural senses and cognitive abilities?

Page 73: Apps as Machines — at FH Potsdam

Amazon Dash

Page 74: Apps as Machines — at FH Potsdam

Amazon App

Page 75: Apps as Machines — at FH Potsdam

Amazon Dash

Page 76: Apps as Machines — at FH Potsdam

• fulfills same job, yet as focused single-purpose device

• lives in the kitchen where it’s being used

• is less private than a smartphone, can be used by various people

• performs well in low-light situations due to barcode laser scanner

Page 77: Apps as Machines — at FH Potsdam

APPS AS MACHINES — Input for your creation

Cheat Sheet

SENSES

CHARACTERISTICS

STATES

Vision /Sight

Material /Texture

Motion Fast Slow Position

Size /Amount

Full /Empty

Smell /Olfactation

Colour

Touch

Weight Range

Hearing /Audition

Taste /Gustation

Temperature / Thermoception

Balance /Equilibrioception

Time /Chronoception

Constant Rising Rhythmic

Page 78: Apps as Machines — at FH Potsdam

Your task

4 Minutes1 Job Story 1 Question

Page 79: Apps as Machines — at FH Potsdam

How might we +user

+ ?need

+insight

Turn your Job Story into a brief

Page 80: Apps as Machines — at FH Potsdam

user needinsight

Ask

How might we assist Adam who has rarely reliable internet access to easily pick photos and share them so that his friends and family can take part in his adventures?

Page 81: Apps as Machines — at FH Potsdam

Ask

user needinsight

How might we assist Adam who has rarely reliable internet access to easily pick photos and share them so that his friends and family can take part in his adventures?

Page 82: Apps as Machines — at FH Potsdam

Write

user + insight + need

How might we assist Adam who has rarely reliable internetaccess to easily pick photos and share them so that his friendsand family can take part in his adventures?

APPS AS MACHINES — Input for your creation

How might we … ?

Page 83: Apps as Machines — at FH Potsdam

How might we … ?

Tell

Page 84: Apps as Machines — at FH Potsdam

Constraints

Avoid screens Avoid keyboards

Page 85: Apps as Machines — at FH Potsdam

100 ! Go for quantity

Keep it short

Encourage wild ideas

Defer judgment

Build on the ideas of others

One conversation at a time

Stay on topic

Be visual

Ideate

Page 86: Apps as Machines — at FH Potsdam

Your task

3 + 7 Minutes2 Ideas1 Brief

Page 87: Apps as Machines — at FH Potsdam

Outcome

Page 88: Apps as Machines — at FH Potsdam

Outcome

Page 89: Apps as Machines — at FH Potsdam

Outcome

Page 90: Apps as Machines — at FH Potsdam

What are your two concept ideas?

Report

Page 91: Apps as Machines — at FH Potsdam

Note

What’s good? What to improve?

Page 92: Apps as Machines — at FH Potsdam

Outcome

Page 93: Apps as Machines — at FH Potsdam

Outcome

Page 94: Apps as Machines — at FH Potsdam

Inspiration for your prototype

Page 95: Apps as Machines — at FH Potsdam
Page 96: Apps as Machines — at FH Potsdam

• video-prototype to make ideas and concepts graspable

• allows you to discuss concepts with stakeholders

• time constraints help to compress and summarise a concept

• food for thought:- build an experience dummy with low-fi paper prototype- or focus on interaction (less than on situation)- or prototype with volume, while keeping shape simple- or follow a storytelling approach

Your task

Page 97: Apps as Machines — at FH Potsdam

Low-fi paper prototype

Page 98: Apps as Machines — at FH Potsdam

Animated storyboards

Page 99: Apps as Machines — at FH Potsdam

Acting out

Page 100: Apps as Machines — at FH Potsdam

Video app recommendations

Vine(6 sec)

Instagram Video(15 sec)

Spark(45 sec)

Page 101: Apps as Machines — at FH Potsdam

Example of 6-second service documentation

https://vine.co/v/br9z3 x2 2 gbw

Page 102: Apps as Machines — at FH Potsdam

Your task

1.5 Day1 Prototype1 Concept

Page 103: Apps as Machines — at FH Potsdam

Your presentation

1 Job Story 1 Advantage1 Concept

Page 104: Apps as Machines — at FH Potsdam

a user with a rather complex lifethe need to do grocery shopping onlinetogether with other family members.

Amazon Dash note-taking deviceis directly connected to the shop

the Amazon smartphone appDash is easy to use with a single hand

and even while multi-tasking

Communicate

For TARGETCUSTOMER

CUSTOMERNEED

CONCEPTNAME

MARKETCATEGORY

who has

that

Unlike

the

is aONE KEYBENEFIT

COMPE-TITION

.

.

UNIQUEDIFFEREN-TIATOR

APPS AS MACHINES — Acceleration tool

Elevator Pitch

Page 105: Apps as Machines — at FH Potsdam

Settingtheir jobs to be done into context

Agenda

Solvingthe job byleveraging more human capabilities

Pitchingyour machine

Discovering what apps and their services do for us

Page 106: Apps as Machines — at FH Potsdam

View

As technology moves into more and more things and ultimately into humans, we must ensure that it is enhancing the human experience not challenging it.

”— @Punchcuthttp://punchcut.com/perspectives/connecting-the-internet-of-things/

Page 107: Apps as Machines — at FH Potsdam

What is your machine?

Your show-timeShow

Page 108: Apps as Machines — at FH Potsdam

Outcome

Page 109: Apps as Machines — at FH Potsdam

Outcome

Page 110: Apps as Machines — at FH Potsdam

Outcome

Page 111: Apps as Machines — at FH Potsdam

— Brian Eno, artisthttp://archive.wired.com/wired/archive/7.01/eno_pr.html

Tools that endure have limited options. These limitations become sources of emotional meaning.

Page 112: Apps as Machines — at FH Potsdam

Flock

Page 113: Apps as Machines — at FH Potsdam

Flock

Page 114: Apps as Machines — at FH Potsdam

How does our perception of IoT change?

Source: @Punchcuthttp://punchcut.com/perspectives/connecting-the-internet-of-things/

Page 115: Apps as Machines — at FH Potsdam

Wrap-up

Page 116: Apps as Machines — at FH Potsdam

In 2 02 0

7.6 billionpeople

50 billiondevices

6.58 devicesper person

Source: Cisco, ‘Connections Counter: The Internet of Everything in Motion’http://newsroom.cisco.com/feature-content?type=webcontent&articleId=1208342

Page 117: Apps as Machines — at FH Potsdam

Not moreinformation,but better

information

Less smartphonedependency,but objects asmessengers

Focus on people,support, protect,empower them

Consider

Page 118: Apps as Machines — at FH Potsdam

How the computer sees us

Source: Physical Computing, O'Sullivan & Igoehttp://www.amazon.com/Physical-Computing-Sensing-Controlling-Computers/dp/159200346X

Page 119: Apps as Machines — at FH Potsdam

1995–Internet viastationarycomputer

2005–Internet inthe palm

2015–Internet in allaspects of life

Level of intimacy to user

Realise

Low High

Page 120: Apps as Machines — at FH Potsdam

Realise

App layer

Connected objects layer

Service layer

Page 121: Apps as Machines — at FH Potsdam

View

[The internet of things] will require businesses to fundamentally transform their approaches to be successful in this new era.

”— @Punchcuthttp://punchcut.com/perspectives/connecting-the-internet-of-things/

Page 122: Apps as Machines — at FH Potsdam

No market need

Ran out of cash

Not the right team

Get outcompeted

Pricing / cost issues

Poor marketing

Ignore customers

Products mis-timed

Lose focus

Disharmony on team 13 %

14%

14%

17%

17%

18%

19%

2 3 %

2 9%

42 %

Top 10 reasons young businesses fail

Source: Top 10 Reasons Startups Fail, based on an analysis of 101 post-mortemshttp://www.cbinsights.com

Page 123: Apps as Machines — at FH Potsdam

+ + + + +

Situation

Monday

Morning

RainAlarm

didn’t

ring

Usually

gone

at tha

t tim

e

Car in re

pair

Contextualise

Page 124: Apps as Machines — at FH Potsdam

Rethink

Competition for entertainment in the evening

Concert FriendsTelevisionVideo shop

Page 125: Apps as Machines — at FH Potsdam

Rephrase

Formulate each job into a statement (or job story)

When I want to So I canSituation Need Goal

Page 126: Apps as Machines — at FH Potsdam

Consider

Leverageall human

capabilities

Design forspecificcontext

There areno new

base needs

Page 127: Apps as Machines — at FH Potsdam

Icons:Max HancockDavid PadrosaJakob VogelOla MöllerJeremy J BristolSiddharth DasariMartin SmithDeadtype

Thanks!

Nicolas MorandLuis PradoSimple IconsLuiza PeixeScott LewisPhil GoodwinMichael SenkowJakob Schneider

SherrinfordEdward BoatmanCengiz SARIMister Pixel

Photos:NokiaAmazon

and special thanks to:Boris Anthony (@Bopuc) for coining the titleand co-creating the original format