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What startups can teach KM about implicit knowledge sharing
1. Startups & KM:
What they can learn from us
and what we can learn from them
Andrew Gent
January 2018
Copyright 2018 by Andrew Gent
2. 2
Disclaimer
• The following presentation is based
on personal experience.
• It does not attempt to be scientific,
objective, or representative.
• It does tell a story and aims to see
what can be learned by observing
knowledge management “in the
wild” as a volatile early stage
startup grows into a sustainable
business.
3. 3
Agenda
• Understand the role of KM in
startups
• See what they do well and don’t do
well
• Determine where in a company’s
evolution KM becomes a “thing”.
4. 4
Our story begins...
• I joined a startup eight years ago as
the ninth employee.
• I was hired as a technical writer and
information architect, not as a
knowledge manager.
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The environment
• Small agile startup
• Inside larger, older startup.
− Startup A: 9 people
− Startup B: ~60 people, 5 year head start
StartupA
StartupB
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First discovery
• Half of Startup B did not know what
the other half was doing.
• But I did.
• How could that be?
StartupA
StartupB
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Questions
• At what point in the lifecycle does a
company need to think about KM?
• Where do knowledge “gaps” come
from?
• How do you (or can you) avoid
them?
8. 8
No answers
• Not a scientifically significant sample (1)
• Not complete (8 years, 9 40-50 people)
• Observing small companies is easier than
evaluating large, complex corporations.
• They teach you surprising things.
But...
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Stage 1: Startup
• Few people (1-15)
• Everyone involved in everything
• Knowledge sharing is everywhere
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Implicit KM: Pros
• Low resistance
• Trial & error
− Willing to try anything
− See a problem, solve it
− Simple is best. Don’t boil the ocean
• Willing to change horses midstream
− 2 email servers, 3 messaging apps (Aim,
HipChat, Slack), 3 code libs, 3 forum
solutions, 4-5 web CMS…
− (Last one is exception to the rule: expensive)
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Implicit KM: Cons
• Impediments:
− Division of labor
• Logical/physical separation of organization
• Different goals, expectations, needs, language
• Different definition of knowledge, artifacts, formats
− Physical separation
• Geography
• Offices
• Floors
• Walls
− Good news
• (I’ll get back to this)
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Implicit KM: Surprises
• Geography is not a major
impediment. Floors & walls are.
• Like agile development, simple &
focused is best.
• Go with what works.
− Don’t be afraid to change
− Accept multiple technologies
• Exception: marketing website
(but that is a separate story)
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Observations
• On the Positive Side:
− Proactive communication
• Monthly/Quarterly company meetings
• Personal intros
• Clubs, activities
− Fast decision making
• Focus on one problem at a time
• Multiple competing technologies are OK
• Design-as-you-go
• Change directions quickly
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Observations
• On the Negative Side:
− Loss of history
• Employee turnover
• Changes in strategy
• No one remembers why X happened
− Stale data
• Abandoned processes, abandoned data
− Good news is a bad thing (for KM)
• Plan: Communicate from each organization
• Result: Urge to give a good impression
• Outcome: loss of “real” info
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2018, 0%
2017, 15%
2016, 14%
2015, 17%
2014, 12%
2013, 14%
early, 27%
2018
2017
2016
2015
2014
2013
early
Example: Wiki
• Old Data:
− Approx. 1400 entries
− 70% more than 2 years old
− 27% more than 5 years old
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2018, 4%
2017, 28%
2016, 4%
2015, 4%
2014, 4%
2013, 4%
early, 52%
2018
2017
2016
2015
2014
2013
early
Example: Wiki
• Top-level:
− 25 topics
− 64% more than 2 years old
− 52% more than 5 years old
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Example: Wiki
• Old Data: Orphan or Archive?
− 2015 Holiday schedule
• Admin/marketing now uses DropBox
− Example apps
• Links to old, deleted, repository
− Draft blog posts
• Pointers no one maintains
− Design & Planning
• History of what was built, how and why
− Infrastructure
• Current state and how to setup & maintain systems,
accounts, etc.
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Example: Wiki
• New Data
− What’s New In…
• Current development plans
− Retrospectives
• Record of work done
− New Developer Intro
• Instructions for new employees
• Why?
− Tied to existing process:
• Planning and Review meeting output
• Each new employee updates the intro
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Conclusions
• Watch out for small changes
with big impact
− Organization structure
− Seating chart
− Kitchens, etc
− Floors and walls
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Suggestions
• Don’t say “KM”
− Yet another organization
− Separates knowledge from work processes,
ownership
• Proactive leadership
− Not just sponsorship
− For small orgs, leadership is key
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Suggestions
• Catalog of knowledge
− Each org lists its information “sources”
− Example:
Engineering Wiki, github
Admin, Marketing DropBox
Sales SalesForce (restricted)
26. 26
What Next?
• Still haven’t answered the question:
when does KM become a “thing”?
− 100 employees? 200?
− When CoPs break organizational boundaries?
• How to break the job/role barrier?
− Division of labor is necessary, but also divides
knowledge and communication
− To bridge that gap, must tackle differing
perspectives, terminology, goals, locations, etc…
− There may be a simple solution. (Seating?)