Agile Gurugram 2023

1. Measuring the
Impact: KPIs for
Assessing
Business Agility
in a Tech-Driven
Environment
VIKAS AWASTHI
www.agilegurugram.com

2. Measurement

3. KPIs and Business Agility
In the dynamic landscape of today's tech-driven business world, adaptability and agility
have become imperative for sustainable success.
As businesses navigate through rapid technological advancements, it is crucial to have a
robust framework in place for measuring the impact of these changes on business
agility.
KPIs provide a clear and objective way to track progress and make informed decisions
based on data-driven insights.
They play a crucial role in assessing the effectiveness of strategies, identifying areas for
improvement, and ensuring alignment with organizational goals.

4. Why Measure Business Agility?
Strategic Decision-Making:
Assessing agility aids in informed decision-making,
especially in a dynamic tech landscape.
Competitive Advantage:
Agile organizations outperform competitors by
adapting faster to market shifts.
Risk Mitigation:
Identifying areas of improvement helps mitigate risks
associated with technological changes.

5. Key Performance Indicators
(KPIs) for Assessing Business
Agility
Time-to-Mar
ket (TTM)
Adaptability
Index
Customer
Satisfaction
Feedback
loops for
continuous
enhancemen
t.
Innovation
Rate
Employee
Engagemen
t
Efficiency
of the
process

6. Implementing KPIs Effectively
Define Clear Objectives: Clearly outline what business agility means for your organization.
Align with Business Goals: Ensure KPIs are aligned with broader business objectives.
Regular Monitoring and Adjustments: Regularly review and adjust KPIs to reflect evolving
business needs.
Experiment
to improve
KPI
Visualizatio
n &
Reflection
Identificatio
n of KPI

7. Case Study
LARGE EUROPEAN BANK DORA IMPLEMENTATION

8. Implementation Roadmap
1
Identification of the
right KPI to start
with aligning with
Business
objectives
2
Alignment
leadership, team,
stakeholders
3
Identification of the
Key team players,
torchbearers
4
Visulization:
creating dashboard
5
Setup current
condition and
target conditions
6
Start with small
experiment
7
Reflection at a
cadence
Repeat the
steps
Review the target
condition

9. Implementation
DORA METRICES
•Deployment Frequency: The frequency at
which new releases go to production
•Lead Time for Changes: The time it takes for code
to go from being committed to running
successfully in production
•Mean Time to Recovery: The time it takes to
repair a system in downtime and restore it to
functionality
•Change Failure Rate: The ratio of deployments to
production
REFLECTION / DASHBOARDS
Improvement Kata
Experiment Sheet
Confluence
Azur Dashboard & PowerBI

10. Improvement Kata
Challenge
Target Condition:
Target Date:
Current Condition: PDCA Cycle
Obstacles

11. Experiment Sheet
Step / Experiment Expectation /
Hypothesis
What happened What I have learned

12. Case Study – Major Outcome
- Shorten release cycle time by 50%
- Maintain Knowledge distribution
- Predictability 95%
- Reduced number of defects by 50% in a
quarter time
- Reduced MTTR by 70%
Stability
Responsivene
ss / Ownership
Culture of
Improvement
Predictability
Time to
Market

13. Key Takeaways
Measuring KPI is a strategic imperative in a tech-driven environment.
KPIs are essential tools for quantifying and measuring the impact of business agility.
Continuous evaluation and adjustment of KPIs are critical for sustained success.
Importantly, culture of improving KPIs is more important

14. Q & A
Vikas Awasthi
www.theproducttalk.com
Vikas.awasthi05@gmail.com
https://www.linkedin.com/in/vikawasthi/
Book about the publish:
Navigating the Product Journey: From Ideation to Market
Mastery
www.agilegurugram.com

15. Thank you