SlideShare a Scribd company logo
Radiating Agile Culture
With Information radiators
01
02
03
04
Has your
organisation/team
struggled with a one
view of release
readiness?
Have you seen teams
struggling to know what
to offer and what not to
offer for a product?
Have you
seen/been part of
teams who are
looking for
measurements/m
etrics for code?
Do you know the actual
usage of the feature when
you are making an
investment to enhance?
A few questions to start with..
It was difficult to assess
when we are ready for a
release just from Excel sheets
OR looking at release
records from SDLC tool
A question for an Agile organisation
What to do?
Dashboarding…
What can happen with
this?
Focussed visibility aids collaboration
Direct
Visuals are a universal language
Makes Sense to everybody despite
cultural & knowledge differences
Tells a Story
Easier to converse around reports
and trends
Removes abstraction
Impact
More engaging
Changes are instantly visible
There is always scope for improvement..
Source: https://www.betterbuys.com/bi/dashboard-best-practices/
Some good
practices..
Decide what your users need from your
dashboard
Make dashboards responsive
Dashboards needs to have leading indicators
Use good UX design
Remember it’s a language, so needs to be
coherent and consistent in all views
What can we take
back to work?
Radiators useDashd through out SDLC
Analytical(BI/AI)
tools
ClicData
- Data discovery
-Data
dissemination
Quality gate
tools
Sonar
Code quality
gates
- Reliability,
Maintainability
Integration and
build tools
Bitbucket/git
plugins
- Build metrics
- Integrations
Monitoring
Grafana
- Release
information at
all levels
Dashboarding through the SDLC
How can all this help?
Inspection and adaptation
Visibility
Intuitive
Influence pro-activeness
The Agile
Onion
evolution..
Sets the tone for…..
The Values of good
development and
quality imbibed
The Principles are
evolving
Making the
practices better
Radiator Tools
What are your
thoughts?
THANK YOU

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ANI | Agile Hyderabad | Radiate the agile culture | 14 Dec 2019 | Manjunath G

  • 1. Radiating Agile Culture With Information radiators
  • 2. 01 02 03 04 Has your organisation/team struggled with a one view of release readiness? Have you seen teams struggling to know what to offer and what not to offer for a product? Have you seen/been part of teams who are looking for measurements/m etrics for code? Do you know the actual usage of the feature when you are making an investment to enhance? A few questions to start with..
  • 3. It was difficult to assess when we are ready for a release just from Excel sheets OR looking at release records from SDLC tool A question for an Agile organisation
  • 6. What can happen with this?
  • 7. Focussed visibility aids collaboration Direct Visuals are a universal language Makes Sense to everybody despite cultural & knowledge differences Tells a Story Easier to converse around reports and trends Removes abstraction Impact More engaging Changes are instantly visible
  • 8. There is always scope for improvement.. Source: https://www.betterbuys.com/bi/dashboard-best-practices/
  • 9. Some good practices.. Decide what your users need from your dashboard Make dashboards responsive Dashboards needs to have leading indicators Use good UX design Remember it’s a language, so needs to be coherent and consistent in all views
  • 10. What can we take back to work?
  • 11. Radiators useDashd through out SDLC Analytical(BI/AI) tools ClicData - Data discovery -Data dissemination Quality gate tools Sonar Code quality gates - Reliability, Maintainability Integration and build tools Bitbucket/git plugins - Build metrics - Integrations Monitoring Grafana - Release information at all levels Dashboarding through the SDLC
  • 12. How can all this help?
  • 14. The Agile Onion evolution.. Sets the tone for….. The Values of good development and quality imbibed The Principles are evolving Making the practices better Radiator Tools

Editor's Notes

  1. What obstacles did you encounter along the way? How did you overcome those obstacles?
  2. Six principles for easy interpretation of information: Proximity, Similarity, Enclosure, Closure, Continuity & Connection
  3. Planning: Understanding, analysis, transformation, and enrichment of the data requires intuitive visualization Design & Development: Possibility of navigating to blockers and other code quality parameters