Intro To Agile Requirements(Agile2016 Bootcamp)

1
© 2016 by EBG Consulting | @mbgorman
www.ebgconsulting.com | www.DiscoverToDeliver.com
Intro to Agile Requirements:
User Stories, Backlogs and
Adaptive Planning
© 2016 by EBG Consulting, Inc.
Mary Gorman
www.ebgconsulting.com
www.DiscoverToDeliver.com
Agile2016

2
Adaptive Planning
© 2016 by EBG Consulting, Inc. all rights reserved.
Visit www.DiscoverToDeliver or contact EBG
for Creative Commons versions of images.
Copyright notice: Please respect this is copyrighted material. No copies, in
part or in whole, including but not limited to hard copy, print, photocopy, or
any electronic media may be made or used. Exceptions require prior written
permission of EBG Consulting, Inc.

3
Agile coach, facilitator, trainer, mentor, author
CBAP®, CSM, CSPO, PMI-PBA®
IIBA® BABOK® 2.0 Team Lead
IIBA® Agile Extension v2 Team
PMI® Business Analysis Task Force Member
Author: articles, blog, book
Twitter: @mbgorman
Blog: ebgconsulting.com/blog
VP Quality and Delivery
EBG Consulting
Mary Gorman

4
give-aways

5
agile goal
discover and deliver high value

6
some agile teams…

7
in balance

8
this afternoon…

9
3
challenges

10
inadequate user stories

11
bulging backlogs

12
poor planning

13

14
ConcertsOnline
. At ConcertsOnline we are
always looking for ways to
enhance our concert goers’
experience.
Our newest initiative:
partner with restaurants
who want to connect with
concert goers at
neighboring concerts.

15
user story
As a concert goer
I want to use
concert-related dining discounts
so I can enhance my concert
experience

16
your turn
Pair up
Consider the user story
As a concert goer I need to search for
What requirements-related questions
do you have?
Be ready to share

17
product options
Alternatives, choices, possibilities…
to achieve a goal or solve a problem for
its stakeholders.

18
discover & deliver
VALUE
www.DiscoverToDeliver.com/visual-language.php
ENDS
Vision
Goal
Objective
quantified
by
amplified
by
delivered
via

19
conversation

20
structured conversation

21
functional
nonfunctional
7 product dimensions
in balance

22
7Ds options board

23
user story
As a concert goer
I want to use
experience

24
slice for value

25
Users
interact with
the product
user

26
user
User Role Map
Represents types of users
and their relationships

27
Sam the Super Fan
Description
A social leader in his group of friends
Loves to party, age 25, single
Paid to see live music in last 12 months
Values (Needs)
Appreciates being ‘in the know’
Wants to be treated like a VIP
Cost conscious
Goals
I want to attend all my favorite artists’ shows in my region
Persona
Description of typical user’s background
user

28
User Action Data Control
Options Value Options Value Options Value Options Value
Soloist
Diehard
SuperFan
Tag-Along
options board

29
The product
provides capabilities
for users
action

30
Process Flow
Shows flows between related actions
action

31
Soloist
Search for
discount
Diehard
Download
disct coupon
SuperFan Tell a friend
Tag-Along
Connect w
restaurant
Share
experience
Provide
feedback
options board

32
The product
includes
a repository
of data and
useful information
data

33
Data Model
Shows logical structure of data
and their relationships
data

34
Soloist
Search for
discount
Artist
Diehard
Download
disct coupon
CO Member
SuperFan Tell a friend Concert
Tag-Along
Connect w
restaurant
Venue
Share
experience
Restaurant
Provide
feedback
Dining Disct
options board

35
The product
enforces
constraints
control

36
Control Options (Business Policies, Rules) Value
Anyone can search for CO-associated restaurants
Only CO members can search for dining discounts
Only “active” dining discounts can be searched
control

37
Soloist
Search for
discount
Artist
Anyone can search for CO-
associated restaurant
Diehard
Download
disct coupon
CO Member
Only CO members can
search for dining discounts
SuperFan Tell a friend Concert
Only “active” dining discount
can be searched
Tag-Along
Connect w
restaurant
Venue
Share
experience
Restaurant
Provide
feedback
Dining Disct
options board

38
story w 4 Ds
AAccttiioonn
As a <user>
data>I need to <action
so <reason>
UUsseerr
CCoonnttrrooll
DDaattaa<controls>

39
AAccttiioonn
story w 4 Ds
As a Super Fan concert goer
concert-related dining discountsI need to search for
experience
UUsseerr
CCoonnttrrooll
DDaattaa
Only CO members can search for dining
discounts

40
structured conversation
confirm to learn

41
confirm with scenarios
experience
discounts
scenario: an instance of use
search for nearby restaurant…

42
your turn
Pair up
For the user story…
As a Super Fan concert goer I need to
search for concert-related dining discounts
Explore 2-3 scenarios
Be ready to share

43
example
a scenario that
contains actual
data values
scenario
an instance
of use
test
concrete,
unambiguous
accept. criteria
confirm stories
concert-related dining discountsI need to search for nearby
experience
discounts

44
Story
Scenario
business rule
Given
pre-condition(s), state
fixed data
context of system
When
action
input data
what will be tested
Then
observable outcome:
message, output data
post-condition, state
result
given-when-then

45
Story
As a Super Fan concert goer I need to search for
so I can enhance my concert experience
Scenario Dining discount(s) found
business rule Only “active” dining discounts can be searched
given-when-then
Given
pre-condition(s), state CO member exists
fixed data
Concert ID Restaurant Dining Discount Status
AJ 123 Lazy Goat 10% active
AJ 123 High Cotton 15% cancelled
AJ 123 Cavey’s 15% active
When
action search
input data concert ID: AJ 123
Then
observable outcome:
message, output data
Lazy Goat, Dining Discount 10%
High Cotton, Dining Discount 15%
post-condition, state no change

46
The product
conforms to
physical properties
and technology
platforms
environment

47
User Environment Location Options Value
Concert Goer Mobile
On-site at concert
Fixed location
CO Manager Office
Mobile
environment

48
environment
EnvironmentTechnology Platform Options
Software Hardware Standards
SafeSQL DBMS RowderRouter 2.4
BB Common Usage
Std 2011.4.3
CommonBrowser V3.1 InfraScanner 878
Security
Protocal-343
MidiMiddleware
8-989
RiverDesktop
MiniPrint-Mobile112

49
The product
interfaces to
users, systems,
and devices
interface

50
Context Diagram
Illustrates interfaces
to/from product
interface

51
The product has
certain properties
that qualify its
operation and
development
quality attribute

52
Quality Attribute Options Value
Availability to search for restaurants
Performance to download coupon
Interoperability with restaurant apps
Usability for CO members
Security event details
quality attribute

53
Gist Availability of the concert goer to find dining
discounts
Stakeholder CO Member
Adapted from: Tom Gilb
Scale Percent of time system is available for searching
Meter Measurement obtained from 20 users during
testing
Benchmark not available
Targets
Minimum 98%
Plan 99%
Wish ideally never down
quality attribute
planguage

54
assemble options

55
AAccttiioonn
story w 7 Ds
experience
UUsseerr
CCoonnttrrooll
DDaattaa
discounts
Only “current” dining discounts can be searched
Interface with CO
IInntteerrffaaccee
Environment
Mobile
QQuuaalliittyy
AAttttrriibbuuttee
Available 95% of time

56
analysis models
the whole story
scenarios
examples
tests
user story

57
your turn
Pair up
Select a word, or phrase that describes
the “whole story”
Be ready to share

58
product backloglean

59

60
product partners
answers ‘who?’

61
collaborative,
visual thinking
https://www.ebgconsulting.com/blog/
the-eyes-have-it-how-visuals-can-energize-your-product-discovery/

62
DDiissccoovveerr TToo DDeelliivveerr™™
77 PPrroodduucctt DDiimmeennssiioonnss
OOppttiioonnss BBooaarrdd
------------------------Options-----------------------
Visuals, models
Download Kit at http://www.DiscoverToDeliver.com/visual-language.php
VViissiioonn,, GGooaallss,, OObbjjeeccttiivveess
PPllaann
PPrroodduucctt PPaarrttnneerrss
agile discovery

63
be prepared

64
onsite, interactive slideshow from
EBG Discovery sessions follows

65
your observations

66
adaptive planning

67
views
answer ‘when?’

68
process
epic
feature
Restaurant
Partnerships
feature
MMF
use case
story
Search for
restaurants
story Search for nearby
dining discount
planning views

69
hypothesis
a tentative insight…
something proposed…
a concept that is
not yet validated…
www.visualthesaurus.com

70

hypothesis
example
We believe obtaining a new source of revenue
through restaurants advertising for
will result in increased ad revenue.
We will know we
have succeeded
when
total ad revenue from restaurants
increases CO’s total ad revenue by 5-8%
within 30 days after implementation.

71
validate to adapt
make
ready
develop & test
accept
deploy
validate
explore

72
wrap

73
High
7 Dimensions
User stories ready for dev & test (Now-View)
Lean backlog
right agile requirements

74
Right partners
3 perspectives
Collaborate in discovery,
continually
Right time
High-value
Validate ASAP
right agile requirements

75

76
Adaptive Planning
© 2016 by EBG Consulting, Inc.
Mary Gorman
www.ebgconsulting.com
@mbgorman
mary@ebgconsulting.com
thanks!

77
! !
! !
Training
Find your learning story
Consulting
Match to your needs
!

78
Vision toValue:
Certified Backlog Refinement Practitioner
October 25-26, Boston, MA USA
!

Intro To Agile Requirements(Agile2016 Bootcamp)

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (17)

Similar to Intro To Agile Requirements(Agile2016 Bootcamp)

Similar to Intro To Agile Requirements(Agile2016 Bootcamp) (20)

Recently uploaded

Recently uploaded (20)

Intro To Agile Requirements(Agile2016 Bootcamp)