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Lean product innovation at SAGE Publishing

Ian Mulvany
November 15, 2018

Lean product innovation at SAGE Publishing

This presentation looks at lean product development tools that we have found useful at SAGE Publishing. We look at design thinking, innovation budgeting, lean canvas, lean value tree, kaizen iterations, frameworks for success and finally discuss some of the aspects of being a product manager within a lean process.

Ian Mulvany

November 15, 2018
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  1. LEAN PRODUCT DEVELOPMENT
    SAGE PUBLISHING &
    IAN MULVANY - HEAD OF TRANSFORMATION; PRODUCT INNOVATION

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  2. ACKNOWLEDGEMENTS
    ▸ Martha Sedgewick
    ▸ Mary Etta Schoradt
    ▸ Katie Metzler
    ▸ Steph Garrett
    ▸ Many many more ….

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  3. CONTEXT

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  4. WHAT’S
    THE GOAL?

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  5. $

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  9. STARTUP ADVANTAGE
    ▸ Small - so fanatical focus can be maintained
    ▸ Few stakeholders - so inertia to change is low
    ▸ Underdeveloped - so systems can change quickly
    BUT
    ▸ Money is often a limiting factor
    ▸ Focus is hard when chasing growth
    ▸ Systems often not ready to scale
    ▸ Most startups fail

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  10. CONDITIONS THAT SUPPORT SUCCESS
    ▸ Clear vision - why are we doing what we are doing
    ▸ Skills - can we do what we need to
    ▸ Discipline - let’s not get distracted
    ▸ Tolerance of change - lets change if we need to

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  11. CONDITIONS THAT SUPPORT SUCCESS
    ▸ Clear vision - why are we doing what we are doing
    ▸ Skills/Tools - can we do what we need to
    ▸ Discipline - let’s not get distracted
    ▸ Tolerance of change - lets change if we need to

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  12. TOOLS

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  13. TOOLS TO SUPPORT FAST(ISH) DECISION MAKING
    ▸ Lean
    ▸ Design thinking
    ▸ C-A-T model of product portfolio management
    ▸ Innovation budgeting
    ▸ Lean product development tools
    ▸ Experimental support
    ▸ The role of product management

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  14. LEAN - TPS
    TAIICHI OHNO
    TOYOTA PRODUCTION SYSTEM

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  15. LEAN - READING

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  16. LEAN - ELIMINATING WASTE

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  17. LEAN KAIZEN

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  18. DESIGN THINKING
    - Ashok Srivastava CDO Intuit

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  19. C-A-T MODEL
    Core
    Adjacent
    Transformational

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  20. INNOVATION BUDGETING
    Dec Dec
    Budget Request / Projection

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  21. INNOVATION BUDGETING
    Dec Dec
    Budget Request / Projection Budget Request / Projection Budget Request / Projection

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  22. INNOVATION BUDGETING
    Core
    Adjacent
    Transformational

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  23. CORE
    ADJACENT
    TRANSFORM
    INNOVATION BUDGETING
    SUSTAIN ITERATE EXPERIMENT
    SUSTAIN ITERATE EXPERIMENT
    SUSTAIN ITERATE EXPERIMENT

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  24. What is Lean? Five steps
    Other Topics
    Hypothesis
    Value hypothesis What do we need to learn?
    What do we measure to tell us what
    we need to learn?
    How do we do validated learning?
    Growth hypothesis
    TPS
    Human Systems
    Process change Kaikaku
    Not Command and Control
    Principle of Mission
    Kanban
    Manage for throughput rather than
    utlization
    WIP
    Complete work before starting
    Lean Product Development
    Visual Management
    Create re-usable knowledge
    Set based concurrent engineering The Lean Cycle
    Entreprenurial System Designer (I
    disatree)
    Teams of responsible experts
    (MVTs)
    Cadence and Pull
    Most work has no positive
    effect
    The 8 Sins of Lean DOWNTIME
    Transportation Electronic systems handoff
    Defects
    Incomplete information
    Ambitious information
    Missed specifications
    Overproduction
    Too much detail
    Unessecary information
    Excessive time
    Inventory Excess
    Motion Waste
    Frequency of searching for
    informaiton
    Information pushed to the wrong
    people
    Waiting
    Unbalanced workflow in the team
    Time spent getting approvals
    Unavailable information
    Hands off - where we pass
    something to someone else
    Not utilising Talent
    Excess processing
    Excessive number of iterations
    Over designed or over engineerd
    Portfolio Management
    Three Horizons Horizon One
    Do things that don’t scale
    Fail fast
    Growth Materiality Matrix
    Value Stream Map - Landscape
    Value chain maps
    Customer Experience Mapping
    Drum-Buffer-Rope Five Rules
    01 Identify the bottleneck
    02 Exploit the bottleneck
    03 Subordinate everything to the
    bottleneck
    04 Elevate the bottleneck
    05 Rinse and Repeat
    TODO
    Add five whys elsewhere
    Make document collaborative
    Add questions along the horizontal
    to make clear the kinds of things
    each tool stream could help with
    Impact Mapping
    Kan Ban
    Customer Journey Map
    Scrum
    Dev methodologies
    Value Stream Mapping -
    Functional
    Minimal Viable Teams
    WIP limits
    Top Tasks
    Value Proposition Canvas
    Van Wesenbrock pricing
    analyss
    Crossing the chasm, user story
    Improvement Kata Model
    Understand the direction of
    challenge
    Grasp the current condition
    Establish the next target condition
    Iterate towards the next target
    condition
    Pirate Metrics
    Lean Value Tree
    Double Diamond
    Activity Cycles / Continuous
    Learning
    Build Measure Learn Loop
    Lean Canvas
    PDCA
    plan
    do
    check
    act
    A3
    proposal
    project
    problem
    procewss
    Google Design Sprint
    OODA
    observe
    Orient
    Decide
    Act
    DSEC / Demming Cycle
    Prototyping
    Off the Shelf
    Paper
    Interactive Prototype
    Concierge
    Wizard of Oz
    We Believe That X Will Y
    Five Whys
    MVP The MVP cupcake Poka Yoke
    Cumulative Flow Diagram
    Cost of Delay CD3
    How to Talk about what people
    are doing
    Job to be done framework
    Agile Story Map
    Software Architectures for Lean
    Continuous Delivery
    Microservices
    Chaos Engineering
    Domain Driven Design
    Strangler Pattern
    API Gateway
    Service Oriented Architectures
    Event Sourcing
    A/B
    Most ideas delivery no, or negative
    value
    Do split testing by pushing two
    branches with no changes
    Some tools can A/B test the full
    stack
    LEAN PRODUCT DEVELOPMENT TOOLS
    A/B TESTING
    VALUE STREAM
    MAPPING
    LEAN CANVAS
    USER STORIES
    MVP

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  25. LEAN PRODUCT DEVELOPMENT TOOLS
    A/B TESTING
    VALUE STREAM MAPPING
    LEAN CANVAS
    USER STORIES
    MVP
    ACCURACY
    CONTEXT

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  26. LEAN PRODUCT DEVELOPMENT TOOLS - LEAN VALUE TREE
    MISSION
    GOAL 1 GOAL 2 GOAL 3
    BET 1 BET 2 BET 1 BET 2 BET 1 BET 2
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA

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  27. LEAN PRODUCT DEVELOPMENT TOOLS - LEAN VALUE TREE
    MISSION
    GOAL 1 GOAL 2 GOAL 3
    BET 1 BET 2 BET 1 BET 2 BET 1 BET 2
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA

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  28. LEAN PRODUCT DEVELOPMENT TOOLS - LEAN CANVAS

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  29. LEAN PRODUCT DEVELOPMENT TOOLS - LEAN CANVAS

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  30. LEAN PRODUCT DEVELOPMENT TOOLS - WIZARD OF OZ

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  31. EXPERIMENTAL SUPPORT

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  32. CASE STUDIES

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  33. CASE STUDIES - CORE
    CASE STUDIES - CORE - TOP TASKS TO HELP ROADMAPPING

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  34. CASE STUDIES - CORE
    CASE STUDIES - CORE - TOP TASKS TO HELP ROADMAPPING
    HTTPS://VIMEO.COM/197935311
    HTTPS://ALISTAPART.COM/ARTICLE/WHAT-REALLY-MATTERS-FOCUSING-ON-TOP-TASKS

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  35. CASE STUDIES - CORE
    CASE STUDIES - CORE - TOP TASKS TO HELP ROADMAPPING

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  36. CASE STUDIES - ADJACENT

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  37. CASE STUDIES - TRANSFORMATION

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  38. SAGE Software Suite
    Social network data · Administrative
    or business systems data · Sensor
    data · Textual data · Video or audio
    data
    Explore software by:
    Navigation · Navigation · Upload your own software
    softwaresuite LOG IN
    Find the tools and software you need for big data
    analysis, explained for social scientists.
    Social network analysis · Quantitative
    text analysis & text mining · Machine
    learning · Data visualisation · Spatial
    R · Python · Julia · MatLab ·
    Mathematica
    DATA TYPE METHOD PROGRAMMING LANGUAGE
    Tell our friendly Dukebot more about your research, and let him help
    you find the software and tools you need.
    “I need to… e.g. analyse text data ” ASK DUKEBOT

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  39. SAGE Software Suite
    Social network data · Administrative
    or business systems data · Sensor
    data · Textual data · Video or audio
    data
    Explore software by:
    Navigation · Navigation · Upload your own software
    softwaresuite LOG IN
    Find the tools and software you need for big data
    analysis, explained for social scientists.
    Social network analysis · Quantitative
    text analysis & text mining · Machine
    learning · Data visualisation · Spatial
    R · Python · Julia · MatLab ·
    Mathematica
    DATA TYPE METHOD PROGRAMMING LANGUAGE
    Tell our friendly Dukebot more about your research, and let him help
    you find the software and tools you need.
    “I need to… e.g. analyse text data ” ASK DUKEBOT

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  40. CASE STUDIES - TRANSFORMATION - SAGE CAMPUS
    MISSION
    GOAL 1 GOAL 2 GOAL 3
    BET 1 BET 2 BET 1 BET 2 BET 1 BET 2
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA IDEA
    IDEA
    IDEA
    IDEA
    IDEA
    IDEA

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  41. CASE STUDIES - TRANSFORMATION - SAGE CAMPUS

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  42. CASE STUDIES - TRANSFORMATION - SAGE CAMPUS

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  43. CASE STUDIES - TRANSFORMATION - SAGE CAMPUS
    Feb Sep
    V1

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  44. CASE STUDIES - TRANSFORMATION - SAGE CAMPUS
    Feb Aug Jan
    V1 V2

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  45. CASE STUDIES - TRANSFORMATION - SAGE ADVICE

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  46. CASE STUDIES - TRANSFORMATION - SAGE ADVICE
    Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
    Infrastructure setup
    Payments
    processor
    Scheduling
    management Video
    conferencing
    Customer
    service

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  47. CASE STUDIES - TRANSFORMATION - SAGE ADVICE
    Apr Jul Aug Sep Oct

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  48. CASE STUDIES - TRANSFORMATION - OCEAN STRATEGY EVOLUTION
    NEW METHODS
    NEW PRODUCTS
    EXISTING METHODS
    NEW PRODUCTS
    NEW METHODS
    EXISTING PRODUCTS
    EXISTING METHODS
    EXISTING PRODUCTS

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  49. CASE STUDIES - TRANSFORMATION - OCEAN STRATEGY EVOLUTION
    NEW METHODS
    NEW PRODUCTS
    EXISTING METHODS
    NEW PRODUCTS
    NEW METHODS
    EXISTING PRODUCTS
    EXISTING METHODS
    EXISTING PRODUCTS

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  50. CASE STUDIES - TRANSFORMATION - EXPERIMENTAL SUPPORT
    “ALEXA ASK SAGE TO DEFINE STATISTICS”

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  51. CASE STUDIES - TRANSFORMATION - EXPERIMENTAL SUPPORT

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  52. CASE STUDIES - TRANSFORMATION - EXPERIMENTAL SUPPORT

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  53. CASE STUDIES - TRANSFORMATION - EXPERIMENTAL SUPPORT

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  54. PRODUCT MANAGER

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  55. CASE STUDIES - ROLE OF THE PRODUCT MANAGER
    PRODUCT MANAGER PROJECT MANAGER
    SCRUM MASTER
    PRODUCT OWNER
    CARETAKER PROGRAM MANAGER
    HIPPO
    CHICKEN
    PIG

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  56. CASE STUDIES - ROLE OF THE PRODUCT MANAGER
    ARCHITECTURE
    QA
    ENGINEERING
    SALES
    MARKETING
    UX
    VISION
    ROADMAP
    STRATEGY
    USER
    PROBLEM
    SEO REPORTING BUSINESS MODEL

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  57. CASE STUDIES - ROLE OF THE PRODUCT MANAGER

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