Anita Zbieg: How to make data actionable? Lessons from the teams on how to turn numbers into stories, ownership and great drivers of change
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Anita Zbieg: How to make data actionable? Lessons from the teams on how to turn numbers into stories, ownership and great drivers of change
1. How to make data actionable?
Lessons from the teams on how to turn numbers
into stories, ownership, and great drivers of change
PEOPLE ANALYTICS CONFERENCE
2/06/2023
Anita Zbieg, PhD
Co-founder & CEO Network Perspective
anita@networkperspective.io
www.networkperspective.io
3. up to 85%
of employees’ time
is consumed on meetings,
emails, and chats[1]
what if your teams
could spend this time smarter?
4. insights & benchmarks
data actions
workweek collaboration
www.networkperspective.io
Co-pilot app for teams to work smarter
5. How to make data actionable?
actionable able to be acted on,
having practical value
data distributed & personalised
telling the story
I understand & care about
providing me with feedback
not judging me
motivating me to act
7. company with 1k employees
generates each month
~160k works hours
~4 mln interactions
~0.8 GB of meta-data
20K
already processing data
from companies employing
~20K people
1B
big data & AI driven:
~30M work hours, ~300M events,
~600M connections yearly
Data! yes! big!
strong ethics upfront!
-> meta-data only (no content)
-> individual data hashing
-> reports on a team level
(min. 5 people)
8. Bottleneck Centrality ChannelsActiveBig ChannelsActiveSmall ChannelsSubscrdBig
ChannelsSubscdSma
ll
ChatsDuration ChatsInterruptions
ChatsQueue ChatsQueueIn ChatsQueueOut
CollaborationCrosTe
m
CollaborationExterna
l
CollaborationIntraTe
a
CollaborationTime CooperationPaths
DailyMeetingDuratio
n
DailyMeetingFreque DailyMeetingSiz DirectorRoles DiversityOfConnectio EmailsAfterHours EmailsQueue FocusedWorkDuratio
DeepWorkStreakCo
DeepWorkStreakLen
g
GroupInternalMeetin
g
IcRoles IndividualWork Internal Meeting Occ
InternalMeetingDura
ti
InternalMeetingFreq
u
InternalMeetingMem InternalMeeting InternaMeetingSize LiftingInteractions GuidanceDailyChats GuidanceDailyEmails GuidanceDailyMeetin
GuidanceDailyOveral
l
GuidanceMonthlyCh
a
GuidanceMonthlyEm
GuidanceMonthlyMe
e
GuidanceMonthlyOv
e
GuidanceWeeklyCha
t
GuidanceWeeklyEma
i
GuidanceWeeklyMee
t
GuidanceWeeklyOve
r
ManagerRoles ManagerSupport MeetAttendees_2 MeetAttendees_3_4 MeetAttendees_5_8 MeetAttendees_9_18
MeetAttendees_over
_18
MeetDuration_1h_2h
MeetDuration_2h_4h
MeetDuration_30m_1
h
MeetDuration_bel_30 MeetDuration_ov_4h MeetiAfterHours MeetConflicting MeetsLongAndLarge MeetiMultitasking
MessSentAfterHours ModeOCollaboration ModeOfDeepWork ModeOfMultipleCont
MultipleContextWor
k
NetworkSize NewbieRoles
1on1eMonthlyDuratio
n
Metrics! yes! so many!
31. The impact can be real & quick
Team experiencing too many meetings, high context switching,
and no time for deep work (to solve complex problems & innovate)
After 3 months
-> 8 hours more for deep work weekly
-> 4 hours less spent in meetings weekly
The team experiencing the work done rather as disconnected
parts from what is done by other teams
After 3 months
-> cross-team collaboration from 6 to 11 teams monthly
32. You can make
the data actionable!
we’re still learning
how to get there
33. Anita Zbieg, PhD
Co-founder & CEO Network Perspective
Linkedin
anita@networkperspective.io
www.networkperspective.io
get in touch with me ---->>>
Hinweis der Redaktion
Work habits are described as metrics built from collaboration data from calendar, chats & emails
and show the experience in a team during a week of work
Work habits are described as metrics built from collaboration data from calendar, chats & emails
and show the experience in a team during a week of work