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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
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
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
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.
5
The environment
• Small agile startup
• Inside larger, older startup.
− Startup A: 9 people
− Startup B: ~60 people, 5 year head start
StartupA
StartupB
6
First discovery
• Half of Startup B did not know what
the other half was doing.
• But I did.
• How could that be?
StartupA
StartupB
7
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
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...
9
Stage 1: Startup
• Few people (1-15)
• Everyone involved in everything
• Knowledge sharing is everywhere
10
Stage 2: Growth
• People: 20-30
• Roles emerge
• Division of labor
• Sharing evolves
− Email
− Chat
− Meetings
− Wiki
11
Stage 3: Business Focus
• People: 30-50
• Roles & titles
− Engineering
− Marketing
− Sales
• Physical separation
− Locations
− Offices
− Meetings
12
Stage 4: Drive to Profit
• People: 50-???
• Organizational separation
• Knowledge separation
13
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)
14
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)
15
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)
16
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
17
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
18
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
19
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
20
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.
21
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
22
Conclusions
• Communicate, communicate,
communicate
• Tell the truth: good and bad
• Keep it simple/focused
• Don’t be afraid of change…
• ...or multiple technologies
• Tie data to existing processes
23
Conclusions
• Watch out for small changes
with big impact
− Organization structure
− Seating chart
− Kitchens, etc
− Floors and walls
24
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
25
Suggestions
• Catalog of knowledge
− Each org lists its information “sources”
− Example:
Engineering Wiki, github
Admin, Marketing DropBox
Sales SalesForce (restricted)
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?)
27
Questions?
Contact Info:
Email: ajgent@yahoo.com
Blog: http://incrediblydull.blogspot.com/
Website: http://www.radiopoets.com/
Twitter: http://twitter.com/AndrewGent

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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.
  • 5. 5 The environment • Small agile startup • Inside larger, older startup. − Startup A: 9 people − Startup B: ~60 people, 5 year head start StartupA StartupB
  • 6. 6 First discovery • Half of Startup B did not know what the other half was doing. • But I did. • How could that be? StartupA StartupB
  • 7. 7 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...
  • 9. 9 Stage 1: Startup • Few people (1-15) • Everyone involved in everything • Knowledge sharing is everywhere
  • 10. 10 Stage 2: Growth • People: 20-30 • Roles emerge • Division of labor • Sharing evolves − Email − Chat − Meetings − Wiki
  • 11. 11 Stage 3: Business Focus • People: 30-50 • Roles & titles − Engineering − Marketing − Sales • Physical separation − Locations − Offices − Meetings
  • 12. 12 Stage 4: Drive to Profit • People: 50-??? • Organizational separation • Knowledge separation
  • 13. 13 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)
  • 14. 14 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)
  • 15. 15 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)
  • 16. 16 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
  • 17. 17 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
  • 18. 18 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
  • 19. 19 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
  • 20. 20 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.
  • 21. 21 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
  • 22. 22 Conclusions • Communicate, communicate, communicate • Tell the truth: good and bad • Keep it simple/focused • Don’t be afraid of change… • ...or multiple technologies • Tie data to existing processes
  • 23. 23 Conclusions • Watch out for small changes with big impact − Organization structure − Seating chart − Kitchens, etc − Floors and walls
  • 24. 24 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
  • 25. 25 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?)
  • 27. 27 Questions? Contact Info: Email: ajgent@yahoo.com Blog: http://incrediblydull.blogspot.com/ Website: http://www.radiopoets.com/ Twitter: http://twitter.com/AndrewGent