grounded, data with a story
Post on 21-Jan-2018
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How can we flip the order of the policy process?
people
interactions
policypolicy
programs
people
from: to:
Canadian case study #1
a new service delivery model for day programs
an interagency social R&D space
the learning
circleGrounded
a new set of practices for drop-ins
a social policy feedback loop
capacity building for the social sector
Canadian case study #2
Aggregated by segment, sector, theme
Aggregated data across social service sectors to get a holistic view.
1) location data with pictures, video, sound
2) experience data of service interactions
3) time usage versus actual outcomes
4) longitudinal - what hinders an outcome
Grounded collects 4 types of content:
1) walk alongsiders are trained grad students
2) recorders are end users trained to document
Grounded creates 2 new roles:
shape surveys and consultations
source creative solutions & options
inform procurement & training
Grounded might:
quantitative data thick data
why? to validate ‘what is’ to generate ‘what could be’
when? point-in-time over-time
where? one context across contexts
who? average extremes
how? surveys, interviews, biometrics
observation, conversation, projection, co-design
how many? large sample size small sample size
so what? generalizable knowledge: findings, reccs
situated know-how: practices, services
in summary
www.inwithforward.com
dr. Sarah Schulman sarah@inwithforward.com @inwithforward
www.torontoinout.ca
Learn more about what we do:
www.fifthspace.ca
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