Time is an Asset, Delay is a Cost: Applying qualitative and quantitative analysis for competitive advantage
abstract
In competitive product development, time often trumps cost and value. While cost of delay is now a part of our vocabulary, how to use it is less understood. Hear the historical context of time-agility strategies, have equations and qualitative approaches demystified - make more effective decisions.
description
While cost of delay has become a fashionable topic for Agile practitioners, agreement as to the correct way to apply it has been harder to find. This presentation will look to the historical use of time and agility to create winning strategies. It examines proposals to quantify cost of delay in product management contexts, and explains the justifications for the resulting formulae and archetypes - where appropriate giving the limitation of their applicability and when to apply different approaches. Finally the presentation looks to the synthesis of these ideas to use quantitative calculations and qualitative analysis in formulating product investment and development strategies.
Notes
Tags
Kanban, agileatscale, lean product development, costofdelay, wsjf
bio
Andy Carmichael is a coach, consultant and business builder who has been at the forefront of process change in software development teams for many years. His clients include major players in finance, software engineering, utilities and telecoms - as well as a number of startups and SMEs - all of whom share the goals of gaining competitive advantage through increased business agility. He is active in the Kanban community and is a Kanban Coaching Professional.
Andy has edited and co-authored four books books: Essential Kanban Condensed (with David Anderson), Object Development Methods, Developing Business Objects and Better Software Faster (with Dan Haywood). When not engrossed in technical work, he enjoys singing, golf and entertaining.
Why Net Present Value? Takes into account cost of capital and risk of non-realisation of value.
Error in graph?
Power law rather than Fibonacci
Nominal - Qualitative variable with out order (only categorisation possible) example : gender, departments, etc.Ordinal - Qualitative variable with order (categorisation and order) example Rank, credit rating as High risk, medium risk, Low risk etc.Interval - Quantitative variable without fixed origin.( has fixed distance but no fixed origin) example - temperature Ratio - Quantitative variable with fixed origin. all quantitative variables are in this category , salary, expenditure, etc.