What Agile Teams Can Learn from Human Performance Technology Bob Winter CA Technologies @TheBobWinter November 2015
What Agile Teams Can Learn from Human Performance Technology
Bob WinterCA Technologies@TheBobWinter
November 2015
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Agenda
The Twain Shall Meet
Human Performance Technology
Proving Value
Agile Performance Improvement
Conclusion
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Agile and Human Performance Technology: The Twain Shall Meet
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The Origins of Agile Performance Improvement
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What Is Human Performance Technology (HPT)?
Human Performance Technology* is a systematic approach to improving productivity and competence, uses a set of methods and procedures—and a strategy for solving problems—for realizing opportunities related to the performance of people.
Also known as:
human performance improvement
performance engineering
performance improvement
*Definition from the International Society for Performance Improvement (ISPI)
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A Tip of the Cap to Robert Mager
Definition of instructional objectives (1962)*
• Performance: what the learner is able to do
• Conditions: important conditions under which
the performance is expected to occur
• Criterion: the quality or level of performance
that will be considered acceptable
*Robert F. Mager, Preparing Instructional Objectives (Belmont, CA: Fearon Publishers, 1962).
Mager’s 3 parts, mashed up with the Agile story syntax
As a <conditions>, I need <criterion>, so that I can <performance>.
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Today‘s Stories
As a product owner, I need to learn the skills introduced by Thomas F. Gilbert’s Behavior Engineering Model so that I can accurately diagnose performance gaps.
As a product owner, I need to follow the taxonomy for proving value, so that I can monetize the output of the development team
As an agile team, we need to apply the success metrics of agile performance improvement, so that we can evaluate our team efficacy
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B.F. Skinner (1904-1990)Operant Conditioning
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The Father of Human Performance Technology
Thomas F. Gilbert (1927–1995)Author of Human Competence: Engineering Worthy Performance (1978)
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Gilbert’s Behavior Engineering Model (BEM)
Information Instrumentation Motivation
Environmental supports
Data (1) Instruments (2) Incentive (3)
Person’s repertory of behavior
Knowledge (4) Capacity (5) Motives (6)
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The 85 Percent Rule*
*Possibly apocryphal, but useful nonetheless
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Why Bad French Fries?
Typical Response (focus on Individual Factors)
An underperforming and disgruntled kitchen worker dropping some french fries into the deep fryer.
Motivation deficiency: “He doesn’t care.” “He’s lazy.”
Knowledge deficiency: “He doesn’t know what the hell he’s doing.” “He needs more training.”
Capacity deficiency: “He’s useless.” “He’s stupid.”
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Environmental Factors
Information:• Does the cook know what is expected? • Does he know what a good french fry looks like
and tastes like? • Is there a feedback mechanism in place?
Incentives: • What are the rewards for making consistently excellent fried food? • What are the consequences of not consistently producing high-quality output?
“If you pit a good performer against a bad system, the system will win almost every time.” Geary Rummler
Instrumentation: • Does the cook have the equipment that will make
it possible to consistently create good fried food? • What if following the menu specifications yields
unpleasing fries?
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What Kinds of Performance Can Be Measured?
Any kind of performance can be measured-reliably and with considerable precision.
We can measure the performance of poets, managers, teachers, and politicians-not
just that of production workers and athletes. The belief that the more complex forms
of performance are not subject to measurement and quantification arises simply from
ignorance about how to do it. Once you get the knack, performance that you once
thought unmeasurable will usually be not nearly so difficult to measure as, say the
radiation of Martian soil or the fertility of farm land.
Thomas F. Gilbert, Human Competence: Engineering Worthy Performance (1978)
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Taxonomy for Proving Human Performance Value
Monetized Value
• Making Money
• Saving Money
• Repurposed Labor
Convertible Value
• Turnover
• Level of Commitment
• Safety and Security
• Customer Loyalty
Workforce Efficacy
• Employee Capabilities
• Productivity
• Time to Productivity
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Takeaways
1. Any kind of performance can be measured.
2. Performance measure should be related to cause.
3. You can almost never isolate the impact of training,
4. The Taxonomy for Proving Performance Value may
help, but every situation is unique.
5. The customer needs to agree on what is important.
6. The customer needs to contribute their data.
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