Planalysis: How to Analyze Plans and Make Them Better
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Planalysis: How to Analyze Plans and Make Them Better

About the Book

Planning Analysis (Planalysis) is a textbook with methods for analyzing plans: particularly objectives, goals and requirements. The main problem is, as I am sure you know already, a high degree of ambiguity, and a lack of actionable clarity.

The objectives are usually the famous management BS. The secondary problem is that the goal statements often contain a suggested, and vague, 'means' (do M to get G). This is a destructive practice. We need to keep the objectives separate, initially, until they are clear and agreed. Then we can let the architects and strategic planners loose, on an intelligible and validated problem (meeting the clear agreed objectives.).

The Planalysis methods make use of my 'Planguage' (Planning Language) and our first step towards serious improvement is to quantify all variables, meaning all values, all qualities, all things that can be made 'better' to a degree. Our quantification method, defining and exploiting Scales of measure is invented by me, as a practical tool, for decades. I wish every serious planner did something similar, but they are not taught such methods: at best they do poorly-defined quantification, at worst they do none.

As one example of a smart company who understands this, Intel has used my Planguage methods for over 20 years, for over 20,000 trained engineers, as the primary language to describe their competitive products. They are still doing good business. So, obviously my methods last, scale, and succeed. They are not a fad. Intel published cases show amazing degrees of improvement of clarity, partly due to a better specification structure of Planguage (about 10x fewer unclear things), and then partly (50X more) to rigorous QC using my Spec QC method (See References, Competitive Engineering).

Planalysis focusses on the analytical side (what's wrong) and uses real examples as a basis. The full picture of positive action to remedy the problems is treated in more depth in my other books and papers like 'Quanteer' (LEANPUB.COM/Quanteer) and others in the Planalysis references.

About the Author

Tom Gilb
Tom Gilb

Tom Gilb has been consulting on management problems, for top management since 1962.  As a result he has developed and refined his own powerful methods for management planning. He has worked for many of these years with his son Kai Gilb. 

These methods are jointly called ‘Planguage’ – a Planning Language. They are unique in helping managers to think quantitatively about the qualitative aspects of their decisions. For example how to quantify ‘engineering productivity’, or general product quality?

Most of the consultancy work is done at the CTO level. Most of it is for technical multinationals, and some financial groups. Most of the work is for planning organizational improvement in productivity and quality (for 10,000 engineers for example). The rest is about big projects (like 1,000 engineers, $100 million).

Tom does not profile himself as a management consultant. In fact he  works at the grass roots of advanced engineering, systems, software, aircraft, IT, telecoms, electronics. 

This often leads to meeting top managers who appreciate his methods, and become clients. There is a well-documented successful spread of his methods at HP, IBM (CMM 4) and Intel (20,000 engineers trained there in his methods). Other interesting famous method-user organizations are Boeing, Citigroup, JP Morgan, Credit Suisse, Philips,  Ericsson, Nokia, Tata Consultancy, Microsoft, Equinor and many others, smaller and less famous.

In June 2024 Nicholas Coutts at GilbFest #25 told us of over 220 startup projects with 3 year success rate of 83% using Toms Planguage (Competitive Engineering) ideas, as a clear causal contributor. See "Some examples of technology for good”

https://doi.org/10.13140/RG.2.2.26703.09126 This made me prouder than all the big corporations we helped! I worked with him directly on some of these startups.

Tom has been invited to lecture at dozens of  universities worldwide (including Berkeley, Stanford, London School of Economics, Imperial College). 

He has previously published nine paper books. The 2005 book is ‘Competitive Engineering’.  

He has spent 2 years  (2014-2015) working on his new book ‘Value Planning’, especially for top managers. Published initially on LeanPub 2016.

In 2018-2024 He produced about 35+ books digitally.About 5 annually. Most at Leanpub, or Gilb.com or  https://www.researchgate.net/profile/Tom-Gilb (with quite a few papers, slides, experiments, older book chapters etc.). It is his way of leaving good technical ideas behind, for when professionals grow to need and appreciate them even better!

In 2020, long course-length videos were made by Oslo Software Architecture (OSWA), based on the SEA Systems Enterprise Architecture book https://www.youtube.com/channel/UCb508f8y_d0PqRZKPCVVVxQ,

And many long videos about the books were made by BCS SPA SG such as https://www.youtube.com/watch?v=qaBhijqVWYA for the Sustainability Planning book.

and

BCS made: Value Requirements video 22 April 2020, 3 hours

https://www.youtube.com/watch?v=ZHrwQtG6IMw&list=PLKBhokJ0qd3_wlvr0j85YhmNfNj8ZJ8M-

and many other of my book videos are below this one on that site.

In 2012 he was made Honorary Fellow of the British Computer Society. 

More information, and many publications, at gilb.com. A 'Tom Gilb' search will tell about things not mentioned here.

He lives in Norway, near Oslo, in Summer Fjordside at the cabin, and is both Norwegian (as of December 2015) and US Citizen (1940).

In 2024, he is 83. He is 'commercially retired', avoids travel, but quite active in spreading his ideas, mentoring disciples, learning what is going on.

Not very impressed with the level of methods for IT/Agile gang. They are nowhere near seriously doing software and systems engineering. Far too many top managers and professors who still cannot quantify critical values and qualities. Responsibility and motivation for serious success and quality seems totally lacking. Sad, the 'war against ourselves'.

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