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Proposed cost: US$89million
Eventual cost: US$337million
It’s always more expensive than expected...
Proposed cost: £2 + 4 (£1) + £5 = £11
Eventual cost: £2 + 4 (£1) + £5 = £11
Rope = £5
4x Hooks = 4 x £1
Used tyre = £2
Using story points to estimate the size of a story
3 points
Volume of work
Complexity
Uncertainty
Copy changes Automated emails Postcode API
Story points estimate “effort”Effort is governed by...
Backlog of stories1 2 3
5 8 13
21
Sprint (53 points)
In o
rde
r o
f in
cre
asin
g p
rio
rity
● Decomposing/breaking down tasks into smaller chunks makes estimation easier.
● Big stories at the bottom; decomposed into smaller, stories as they get closer to the top: just enough detail.
● The biggest story that will go into a sprint is 8 points. Any bigger and we break it down.
The magic word is “Decompose”
“ “”
The timebox
● Sprints to a fixed length of time● No new tickets once sprint is set● If dev can do 20 points per sprint, only 20 points
worth of work goes into each sprint
WHY?!!!!
It will be ready in 2 weeks!
How do we know it’s good enough?
Specification: Full-size anatomical
human skeleton. Minimum 150cm tall.
vs
How can it possibly take that long?
Quality????
Time/Cost(fixed)
Scope(fixed)
You can only have two...
Remove non-essential features
Windows Tablet PC 2002 iPad 2008 - turns out we don’t need keyboards & styluses...
Prioritising every 2 weeks means we’re always working on the most important thing. If it never gets
to the top of the list, it’s not important. We can’t do everything.
Focus is the art of saying no- Steve Jobs
The essence of strategy is
choosing what not to do- Michael Porter
Glossary of terms
Acceptance criteria
Grooming
MVP
Product backlog
Product owner
SCRUM/daily stand-up
SCRUM master
SCRUM poker
Sprint
Sprint backlog
Story
Story points
Timebox
Velocity
Some key terminology
● Story points
● Sprints:
○ Decomposing
○ Prioritising
○ Estimates
○ Grooming (unfortunate name)
● Timebox
● Burndown chart
● Acceptance criteria
● MVP - and the trade-off triangle
● Time isn’t very reliable
● Focus
● More accurate estimation
● Value for the end user
● Forecasting
● Time efficiency
● Nothing is allowed to drag on
● Progress report
● Interpretation and unit tests
● ‘Good enough’ is good enough
Why?