Designing tech tools for crisis scenarios - Birmingham Design Festival 2019 - TRUTH

Research in emergency
services and international
disaster relief aid.
@erioldoesdesign @ushahidi @designfestbrum #BDF2019
DESIGNINGFOR
CRISIS

Hi, I’m Eriol. (Ehh-roll).
I’m a Designer @ Ushahidi
They/Them/Their’s pronouns.
10 years in digital product design & UX.

Helping people raise their voice and those
who serve them to listen and respond better
A tool to help other teams reach each other
everyday and in a crisis. On any device.
We were able to map all the health facilities in Kathmandu
Valley before the earthquake, which will undoubtedly help the
relief workers’ ability to deliver supplies and help save lives.

CRISIS BACKGROUND.
MVP & KENYA FIELD RESEARCH.
4 CHALLENGES/LEARNINGS.

Hi, I’m Eriol. (Ehh-roll).
I’m a Designer @ Ushahidi
They/Them/Their’s pronouns.
7+ year history in varied
community development work.
10 years in digital product design & UX.

Fox Lane Project: Adamsdown

WSAAG, Homework club, Community garden

Team Rubicon UK

Marmalade trust, Community Resilience Team SARAID

PROBLEM STATEMENT:
IN A CRISIS, FINDING
OUT WHAT PEOPLE WHO
ARE AFFECTED NEED IS
COMPLICATED.

CRISIS, INCIDENT,
DISASTER.
Disaster:
Typically natural disaster like a hurricane/cyclone/typhoon/earthquake/
flood/fire.
Crisis/Incident:
Can include human made disasters like terrorism, community violence,
hate crime, govt. organisational corruption.

AFTERDURINGBEFORE
Resilience Response Recovery
X Time elapse

CAN A TECH TOOL HELP A
COMMUNITY BUILD CAPACITY TO
HELP EACH OTHER BEFORE,
DURING AND AFTER AN
INCIDENT.
WHAT WE WANTED TO TEST:

KATHMANDU LIVING
LABSquakemap.ushahidi.io/views/map

SO WE DID RESEARCH
LOCALLY: ETHNOGRAPHIC
RESEARCH
Nailsea FirestaXon: www.avonﬁre.gov.uk

SO WE DID RESEARCH ‘LOCALLY’http://bit.ly/opnanook
IN CITIES AND SMALL
COMMUNITIES

AND IT STARTED TO LOOK
FAMILIAR TO ME…
hZps://www.facebook.com/groups/BS3helpers/

AND IT STARTED TO LOOK FAMILIAR
TO ME…
hZps://www.facebook.com/groups/BS3helpers/
WHAT’S THE USER
ECOSYSTEM?
ORGANISED NOT
‘DIGITAL’ 1ST
NOT ORGANISED
LOOKING TO HELP
OFFICIAL
SERVICES

CHALLENGE/LEARNING 1:
OFFICIAL AND
EMERGENCY RESPONSE
SKEPTICISM.

AND IT STARTED TO LOOK FAMILIAR TO ME…
MVP: WHAT QUESTIONS ARE
WE ASKING?
Does AI and machine learning really maZer to users?
What are the opportuniXes for our system to supplement /
enhance those exisXng pracXces?
How do helpers/requester miXgate risk to their safety?
What are the micro decisions you make in a voluntary exchange?
What are the deep moXvaXons for helping members of your
community?
ORGANISED
NOT ‘DIGITAL’
1ST
NOT ORGANISED
LOOKING TO HELP

NEED!
OFFER!
NEED!
A peer-to-peer, community led,
needs assessment, matching, and
recommendaXon system.

CRUNCH: 4 MONTHS
RESEARCH. DESIGN. DEV.
FIELD.

RESEARCH. DEV SCOPE.
FUNDRAISING.
DESIGN+DEV ITERATION X 5.
FIELD WORK PREP. QA TESTING.
IN COUNTRY ACTIVITY.
REPORTING.

WHY NAIROBI, KENYA?

DISPATCHER PILOT:
EVALUATIVE &
FOUNDATIONAL

CULTURAL DIFFERENCE
IN NEEDS.
BROAD STROKES
ARE DANGEROUS.

DISPATCHER PILOT:
EXPLORATIVE &
PROMOTIONAL
@ushahidi @BelFOSS #BelFOSS

DID WE FIND THE TRUTH?
What are the opportuniXes for our system to supplement / enhance / supplant those exisXng
pracXces (features)?
What are the deep moXvaXons for helping members of your community?
Bonds of similar interests = New mum groups in Nairobi want to help other new mums.
In UK, miXgaXng they current support networks ‘faXgue’ e.g. an impaired person could
get simple task performed by a Dispatcher helper so their carers aren’t so stretched.
In Kenya, accessing skills they didn’t have within current networks.

Does AI and machine learning really maZer to users?
How do helpers miXgate risk?
What are the micro decisions you make in a voluntary exchange?
Turning device locaXon on only when needed. Using chat funcXons to discover
credibility of source. Relying on tone, language. Users asked for ‘recommendaXons’ or
ability to review other helpers. Are they part of my community e.g. Class barriers.
Proﬁle image, descripXon and what people we asking was more interesXng
then proximity. The potenXal for a ‘bond’. Implicit trust was higher among community
‘ﬁrst’ people.
Absolutely not. The matching algorithm was less interesXng than the social aspect.
DID WE FIND THE TRUTH?

YOUR ATTITUDE
TO TRAUMA
MATTERS.

POLYCOMfacebook.com/polycomdevelopmentproject

eriol@ushahidi.com
@erioldoesdesign
ASANTE SANA FOLKS.
Ushahidi community channel:
https://gitter.im/ushahidi/Community
@ushahidi
Ushahidi OSS repo
https://github.com/ushahidi/platform

Designing tech tools for crisis scenarios - Birmingham Design Festival 2019 - TRUTH

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