2. Overview
About startups
How they differ
What’s good and what’s bad
Project planning
Clean sheets and chaos
What should you be developing and
measuring to see if it all works?
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4. A typical startup
Optimism of building the perfect
system
Not always sure what they will build
“Live R&D”
Create a “minimum viable product”
Plans may be in flux
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5. A typical startup
Unclear of what documentation they
need
May not have experience of creating
user documentation
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6. Startup funding
Funds may come in stages
Funds may be limited
Funds may rely on the
system being documented
Time may be limited
Uneven workload
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7. Startup culture
Wants to create a company
culture, with staff working
closely together
A focus on identity & image
Heroes
“The curse of knowledge”
Image: Heisenberg Media
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9. Capability Maturity
Model
1. Initial - chaotic, ad hoc,
individual heroics
2. Repeatable - repeating the same steps
may be attempted
3. Defined - there are standard business
processes
4. Managed - there are agreed-upon
metrics
5. Optimizing - there is deliberate process
improvement
Flickr image: charlesfettinger
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12. Capability Maturity
Model
1. Initial - chaotic, ad hoc, individual
heroics
2. Repeatable - repeating the same steps
may be attempted
3. Defined - there are standard
business processes
4. Managed - there are agreed-
upon metrics
5. Optimizing - there is deliberate
process improvement
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14. Capability Maturity
Model
1. Initial - chaotic, ad hoc, individual
heroics
2. Repeatable - repeating the same steps
may be attempted
3. Defined - there are standard business
processes
4. Managed - there are agreed-upon
metrics
5. Optimizing - there is deliberate process
improvement It’s less clear
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15. Could you be the
project manager?
Can take a step back
Not so emotionally attached
to the code
Can represent the user
Image:Atlassian
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16. Who is the audience?
You may only have one
level of user at the
beginning - Early Adopter
Image: Dumbledad
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17. What is the purpose of
the documentation?
Often to get people to install it
Explain a new or an unfamiliar
concept or terminology
Provide a professional image
for the product
Image: Stormkatt
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18. A cognitive design for
User Assistance
Users’ questions & strategies
Community, user generated content
Users’ questions & strategies
Community, user generated content
Users’ questions & strategies
Community, user generated content
Body of
knowledge
Why isn’t it working?
Body of
knowledge
What is a good choice?
Body of
knowledge
Training
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19. Screencasts
Can work well for
advanced users
Can be produced quickly
Can get out of date easily
(but see the vendors)
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20. You might need to
work backwards
We have x days and £x, what
can we do within those
restrictions?
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21. You need to ask the
usual questions
What is stable/unstable?
Which concepts do you need to
describe?
What are the key tasks?
What are the deadlines?
What is the budget?
Image: Emma Jane Hogbin
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30. One piece flow
Instead of batch processing
even though it’s counterintuitive
You’ll spot errors much more
quickly
Image: Geoff Rixon
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31. Publish by topic?
1st draft
2nd draft
Final draft
1st draft
2nd draft
Final draft
1st draft
2nd draft
Final draft
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32. Other advantages of
topic-based authoring
You can re-use content
You can rearrange content
Image: Kai Weber
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33. A staged rollout
Release topics as they are written
Prior to product release?
Staged release
Early adopters happy to work out some
things themselves
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39. Why measurement
matters
“If you can't measure it,
you can't manage it.”
The way you're measured
has a great influence on
how you're managed and
assessed.
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40. Measure to discover
what adds value
Track what users do next
User ratings of topics
Benchmarking against
support calls
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41. Publishing
Put it on the web so
Google can find it
People will search the web
Use web analytics
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