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Rastin Kenarsari o7o Copyright © 2019 Page 1 of 22
TPM
manages the
coordination of
business decisions
leads design
through the
implementation
Rastin Kenarsari o7o Copyright © 2019 Page 2 of 22
TPM
Network
Engineering
TPMs
Data Center
TPMs
Hardware
TPMs
Capacity
TPMs
Team up with
engineers to
determine how
to scale and
manage
capacity
Engineering TPMs
work with
engineers on
software
efficiency,
reliability, and
quality
to integrate
into our back-
end
infrastructure
while
simultaneously
helping to
shape product
vision
Rastin Kenarsari o7o Copyright © 2019 Page 3 of 22
Product Manager
Why
questions?
Strategic-level
responsibility
Strategically
driving the
development
Market
launch
Continual
support
Product
Improvement
Program
Manager
How & When
questions?
Tactical-level
responsibility
Identifying &coordinating
interdependencies
Among
projects &
products
Other
important
strategic
initiatives
across an
organization.
Rastin Kenarsari o7o Copyright © 2019 Page 4 of 22
4 Management Styles to Strive For
Visionary
Feel
Autonmoy
Hard to
Pull off
Best for
Startup
Partner
Democratic
Feel
Valued
Slow
Decision
Slow
Progress
Transformational
feel Happy Innovative
Push the
comfort
zone
How push
not burn
out
Coaching
Improve
Employee
Motivate
Work With
Them
Rastin Kenarsari o7o Copyright © 2019 Page 5 of 22
4 Management Styles to Avoid
Autocratic
Punis
h
Guilt
Sham
e
Micor
mana
ger
Good
for
crisis
Servant
People
First
Task Next
Lot time
for
bonding
Frustrates
Goal
oriented
Employee
Laissez-
faire
Hands off
No Vision
aor
Guidance
Transactio
nal
Rewards
&
incentive
Kills
passion
Rastin Kenarsari o7o Copyright © 2019 Page 6 of 22
Conflict Mgmt
Open
Comnmu
nication
Environm
ent
Acknowle
dge
Let
Express
Feeling
Define
The
problem
Determin
e need
Find
Common
Area
Solution
Satisfy
need
Follow up
Strategy
if it
unresolve
d
(Disciplin
ary
Action)
Rastin Kenarsari o7o Copyright © 2019 Page 7 of 22
Communication
Open
Communication
Environment
Regula Staff
Meeting
Individual
Meeting
Rastin Kenarsari o7o Copyright © 2019 Page 8 of 22
Effictive
Listening
Non verbal
Communic
ation
Recognize
your
prejudices
Listen &
underestan
d feeling
Don't
Intrupt
Don't judge
Don't give
advice (
they must
reach
themself)
Responding
Empatize Validate Restate Clarify Summerize
Rastin Kenarsari o7o Copyright © 2019 Page 9 of 22
Six Sigma
Six Sigma is derived from the bell curve used in statistics where one
Sigma represents one standard deviation away from the mean
The defect rate is said to be extremely low when the process exhibits
Six Sigma’s, where three are above the mean and three below
Six Sigma
Defind Disciplined
Statistical
and Data
Driven
Business
Methodology
Customer
Satisfication
Profitability
Improve
Quality
Eliminate
Defects
Rastin Kenarsari o7o Copyright © 2019 Page 10 of 22
Create new process or product designs
Rastin Kenarsari o7o Copyright © 2019 Page 11 of 22
Improve a process that is related to an existing business
Rastin Kenarsari o7o Copyright © 2019 Page 12 of 22
Product Metrics
Product metrics are quantifiable data points that a business tracks and analyzes to gauge the success of its product :
conversion rate, churn rate, and monthly recurring revenue
According to ProductPlan’s Director of Product Management, Annie Dunham, the metrics your team chooses to track should
collectively create a North Star for your product. They should help you move toward the broad strategic goal you’ve set
Current System
User behaviour
User adoption
Percentage of
users who act
based on your
promotion
Churn is a
measurement of
the percentage of
accounts that
cancel or choose
not to renew their
subscriptions.
Monthly
Recurring
Revenue
(MRR) is a
measurement
of revenue
generation by
month.
business-oriented
metrics
Cost to acquire
a new
customer
Lifetime Value
(LTV) is an
estimate of
how much
revenue an
account will
bring in over
its lifetime.
SaaS company
Sustained
feature
adoption
Sessions per
user
Bounce rate
Number of
active users
Rastin Kenarsari o7o Copyright © 2019 Page 13 of 22
Product Metrics
Are Your Product Metrics Sending
You a Warning Sign?
A steep drop-off in the
usage of a feature or
area of your product
Users taking longer to
complete specific tasks
in your product than
you had estimated
Average user time
spent interacting with
your product
decreasing over time
Rastin Kenarsari o7o Copyright © 2019 Page 14 of 22
Product Metrics
What Can You Do with Product Metrics?
Confirm Communicate
Rally your
troops
When you’ve made your case to
the relevant stakeholders, you
will then want to help them relay
this new information to their
respective teams
Rastin Kenarsari o7o Copyright © 2019 Page 15 of 22
System Metrics
Design metrics
How risky
is this
design?
How
much will
it cost to
impleme
nt?
Have we
tested
enough?
Should
we reuse
or
impleme
nt from
scratch?
What are
our
defect
rates?
How well
are we
using our
computer
s and
tools
Complexi
ty Models
In general
reliability
is
inversely
related to
complexit
y
SW Metrics
Lines of
Code
(LOC)
Function Points (FP)
Number
of user
inputs
Number
of user
outputs
Number
of user
inquiries
Number
of files
Number
of
external
interfaces
FFP (Full
Function
Points)
HW Metrics
Ratio of
control
transistor
s to
datapath
transistor
s
Ratio of
high
speed I/O
signals to
slow
speed I/O
signals
MIPS FLOPS
Process Flow Metrics
Process Metrics‐
Insights
of
process
paradigm
, software
engineeri
ng tasks,
work
product,
or
milestone
s.
Lead to
long term
process
improve
ment.
Product Metrics‐
Assesses
the state
of the
project
Track
potential
risks
Uncover
problem
areas
Adjust
workflow
or tasks
Evaluate
teams
ability to
control
quality
Rastin Kenarsari o7o Copyright © 2019 Page 16 of 22
System Metrics
Design metrics
How risky is
this design?
How much
will it cost to
implement?
Have we
tested
enough?
Should we
reuse or
implement
from
scratch?
What are
our defect
rates?
How well
are we using
our
computers
and tools
Rastin Kenarsari o7o Copyright © 2019 Page 17 of 22
System Metrics
Complexity Models
In general
reliability is
inversely
related to
complexity
Measures of software complexity
McCabe Halstead
Function
Points
Count
branches,
calls,
inputs,
outputs etc
Measure of hardware complexity
Ratio of
control
transistors
to datapath
transist1ors
Ratio of
high speed
I/O signals
to slow
speed I/O
signals
MIPS FLOPS
Rastin Kenarsari o7o Copyright © 2019 Page 18 of 22
Rastin Kenarsari o7o Copyright © 2019 Page 19 of 22
Rastin Kenarsari o7o Copyright © 2019 Page 20 of 22
System Metrics
SW Metrics
Lines of
Code
(LOC)
Function Points (FP)
Number
of user
inputs
Number
of user
outputs
Number
of user
inquiries
Number
of files
Number
of
external
interfaces
FFP (Full
Function
Points)
Rastin Kenarsari o7o Copyright © 2019 Page 21 of 22
System Metrics
HW Metrics
Ratio of control
transistors to
datapath
transistors
Ratio of high
speed I/O
signals to slow
speed I/O
signals
MIPS FLOPS
Rastin Kenarsari o7o Copyright © 2019 Page 22 of 22
System Metrics
Process Flow Metrics
Process
Metrics
Insights of process
paradigm, software
engineering tasks,
work product, or
milestones.
Lead to long term
process
improvement.
Product Metrics
Assesses the state
of the project
Track potential
risks
Uncover problem
areas
Adjust workflow or
tasks
Evaluate teams
ability to control
quality

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Tpm all you need v1.2

  • 1. Rastin Kenarsari o7o Copyright © 2019 Page 1 of 22 TPM manages the coordination of business decisions leads design through the implementation
  • 2. Rastin Kenarsari o7o Copyright © 2019 Page 2 of 22 TPM Network Engineering TPMs Data Center TPMs Hardware TPMs Capacity TPMs Team up with engineers to determine how to scale and manage capacity Engineering TPMs work with engineers on software efficiency, reliability, and quality to integrate into our back- end infrastructure while simultaneously helping to shape product vision
  • 3. Rastin Kenarsari o7o Copyright © 2019 Page 3 of 22 Product Manager Why questions? Strategic-level responsibility Strategically driving the development Market launch Continual support Product Improvement Program Manager How & When questions? Tactical-level responsibility Identifying &coordinating interdependencies Among projects & products Other important strategic initiatives across an organization.
  • 4. Rastin Kenarsari o7o Copyright © 2019 Page 4 of 22 4 Management Styles to Strive For Visionary Feel Autonmoy Hard to Pull off Best for Startup Partner Democratic Feel Valued Slow Decision Slow Progress Transformational feel Happy Innovative Push the comfort zone How push not burn out Coaching Improve Employee Motivate Work With Them
  • 5. Rastin Kenarsari o7o Copyright © 2019 Page 5 of 22 4 Management Styles to Avoid Autocratic Punis h Guilt Sham e Micor mana ger Good for crisis Servant People First Task Next Lot time for bonding Frustrates Goal oriented Employee Laissez- faire Hands off No Vision aor Guidance Transactio nal Rewards & incentive Kills passion
  • 6. Rastin Kenarsari o7o Copyright © 2019 Page 6 of 22 Conflict Mgmt Open Comnmu nication Environm ent Acknowle dge Let Express Feeling Define The problem Determin e need Find Common Area Solution Satisfy need Follow up Strategy if it unresolve d (Disciplin ary Action)
  • 7. Rastin Kenarsari o7o Copyright © 2019 Page 7 of 22 Communication Open Communication Environment Regula Staff Meeting Individual Meeting
  • 8. Rastin Kenarsari o7o Copyright © 2019 Page 8 of 22 Effictive Listening Non verbal Communic ation Recognize your prejudices Listen & underestan d feeling Don't Intrupt Don't judge Don't give advice ( they must reach themself) Responding Empatize Validate Restate Clarify Summerize
  • 9. Rastin Kenarsari o7o Copyright © 2019 Page 9 of 22 Six Sigma Six Sigma is derived from the bell curve used in statistics where one Sigma represents one standard deviation away from the mean The defect rate is said to be extremely low when the process exhibits Six Sigma’s, where three are above the mean and three below Six Sigma Defind Disciplined Statistical and Data Driven Business Methodology Customer Satisfication Profitability Improve Quality Eliminate Defects
  • 10. Rastin Kenarsari o7o Copyright © 2019 Page 10 of 22 Create new process or product designs
  • 11. Rastin Kenarsari o7o Copyright © 2019 Page 11 of 22 Improve a process that is related to an existing business
  • 12. Rastin Kenarsari o7o Copyright © 2019 Page 12 of 22 Product Metrics Product metrics are quantifiable data points that a business tracks and analyzes to gauge the success of its product : conversion rate, churn rate, and monthly recurring revenue According to ProductPlan’s Director of Product Management, Annie Dunham, the metrics your team chooses to track should collectively create a North Star for your product. They should help you move toward the broad strategic goal you’ve set Current System User behaviour User adoption Percentage of users who act based on your promotion Churn is a measurement of the percentage of accounts that cancel or choose not to renew their subscriptions. Monthly Recurring Revenue (MRR) is a measurement of revenue generation by month. business-oriented metrics Cost to acquire a new customer Lifetime Value (LTV) is an estimate of how much revenue an account will bring in over its lifetime. SaaS company Sustained feature adoption Sessions per user Bounce rate Number of active users
  • 13. Rastin Kenarsari o7o Copyright © 2019 Page 13 of 22 Product Metrics Are Your Product Metrics Sending You a Warning Sign? A steep drop-off in the usage of a feature or area of your product Users taking longer to complete specific tasks in your product than you had estimated Average user time spent interacting with your product decreasing over time
  • 14. Rastin Kenarsari o7o Copyright © 2019 Page 14 of 22 Product Metrics What Can You Do with Product Metrics? Confirm Communicate Rally your troops When you’ve made your case to the relevant stakeholders, you will then want to help them relay this new information to their respective teams
  • 15. Rastin Kenarsari o7o Copyright © 2019 Page 15 of 22 System Metrics Design metrics How risky is this design? How much will it cost to impleme nt? Have we tested enough? Should we reuse or impleme nt from scratch? What are our defect rates? How well are we using our computer s and tools Complexi ty Models In general reliability is inversely related to complexit y SW Metrics Lines of Code (LOC) Function Points (FP) Number of user inputs Number of user outputs Number of user inquiries Number of files Number of external interfaces FFP (Full Function Points) HW Metrics Ratio of control transistor s to datapath transistor s Ratio of high speed I/O signals to slow speed I/O signals MIPS FLOPS Process Flow Metrics Process Metrics‐ Insights of process paradigm , software engineeri ng tasks, work product, or milestone s. Lead to long term process improve ment. Product Metrics‐ Assesses the state of the project Track potential risks Uncover problem areas Adjust workflow or tasks Evaluate teams ability to control quality
  • 16. Rastin Kenarsari o7o Copyright © 2019 Page 16 of 22 System Metrics Design metrics How risky is this design? How much will it cost to implement? Have we tested enough? Should we reuse or implement from scratch? What are our defect rates? How well are we using our computers and tools
  • 17. Rastin Kenarsari o7o Copyright © 2019 Page 17 of 22 System Metrics Complexity Models In general reliability is inversely related to complexity Measures of software complexity McCabe Halstead Function Points Count branches, calls, inputs, outputs etc Measure of hardware complexity Ratio of control transistors to datapath transist1ors Ratio of high speed I/O signals to slow speed I/O signals MIPS FLOPS
  • 18. Rastin Kenarsari o7o Copyright © 2019 Page 18 of 22
  • 19. Rastin Kenarsari o7o Copyright © 2019 Page 19 of 22
  • 20. Rastin Kenarsari o7o Copyright © 2019 Page 20 of 22 System Metrics SW Metrics Lines of Code (LOC) Function Points (FP) Number of user inputs Number of user outputs Number of user inquiries Number of files Number of external interfaces FFP (Full Function Points)
  • 21. Rastin Kenarsari o7o Copyright © 2019 Page 21 of 22 System Metrics HW Metrics Ratio of control transistors to datapath transistors Ratio of high speed I/O signals to slow speed I/O signals MIPS FLOPS
  • 22. Rastin Kenarsari o7o Copyright © 2019 Page 22 of 22 System Metrics Process Flow Metrics Process Metrics Insights of process paradigm, software engineering tasks, work product, or milestones. Lead to long term process improvement. Product Metrics Assesses the state of the project Track potential risks Uncover problem areas Adjust workflow or tasks Evaluate teams ability to control quality