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February 28, 2007

Gettting from A to B

Ideas are a dime a dozen; implementations are a million dollars per success.

Is there a "model" that describes the success factors of "implementation" as a practice or methodology?

On the surface, "implementation" typically presumes translating an idea into requirements, specs, and engineering, with a quality (compliance validation) check and delivery effort at the end.

A more sophisticated look will generally include considerations about likely necessary environmental adaptations, so more efforts get included in the form of assessments and monitoring.

So far, the point is that there is a layering of attention that not only manages production but manages change. Are there ony two layers?

In future versions of this article, an Archestra framework for implementation is coming.

Posted by Malcolm Ryder at 7:53 AM | Comments (0) | TrackBack

February 20, 2007

All News All The Time in the Garden of Good and Evil

Britney Spears killed Anna Nicole.

When she realized she likely left hair strands at the scene of the crime, she shaved her head.

"What? That's not my hair."

Kevin Federline will get custody of Anna's baby.

This just in: Zsa Zsa will hire the judge to handle her divorce. In an unexpected move, MTV will handle the coverage.

Posted by Malcolm Ryder at 10:11 PM | Comments (0) | TrackBack

February 17, 2007

Split P Soup

Be careful what you ask for. This is the part everyone already knows to heed, but who actually does?

Here's a favorite view of the intensive efforts made to satisfy the customer: Forbell's "Splitting Peas for Split Pea Soup" printed in Old "Judge" Magazine. We love the "system" of production controls, and the implication that the overkill is necessary to get the soup right.

This worked for Andersen's Pea Soup Restaurant in old Buellton California; the "home of pea soup", they were very clear on what their customer wanted, and they did that one thing well.

But isn't that the exception? From what we read and hear, throughout many fields of effort, from projects to purchasing, failure or buyer's remorse is easily just as common as their opposites. Despite decades of programmatic attention to "improvement", things have only marginally improved when it comes to actually wanting what gets delivered.

This obviously suggests that the supply side of improvement is only part of the problem. The other part has to be on the demand side. But as the customer, we're supposed to be always right. So why do we not get what we want? Because we don't ask for it. We might only ask for what is "high priority", to try to reduce the risk; but what does "priority" really mean?

Most often, the problem with priorities is that the way they relate to the "want" isn't understood or isn't communicated. They wind up being not ambiguous but out of context, leaving it much more likely that other parties responding to them (as providers or stakeholders) will respond the wrong way or simply disagree.

To sort this out, we have to trace the "priority" back to what made it a priority, and set that out as an explicit part of the receiver's specification for the deliverable. As seen in the picture below, this will show four different aspects that may get evaluated when the deliverable arrives. The risk is that the provider and the receiver didn't agree, in the first place, on what mattered -- making the deliverable less tolerable, suitable, usable or whatever, having not met the unstated criteria... At the point of delivery, disagreements about whether the right thing was provided often seem to be about splitting hairs, and the reality is that the hair to be split is what was meant by "priority".

In this framework, it's clear that the key points to consider are neither indefinite nor synonymous. And that is why they are not interchangeable. Thus it is easy to get one or another of them right, only to find out that whatever wasn't addressed will cause a "failure" or buyer's remorse.

The sophisticated customer or likewise provider will recognize in advance that all these different aspects must be accounted for: each one either satisfied or ruled out, in an agreement between the supplier and the customer. For example: take television commercials for successful "diet programs" -- now they must try harder to pre-empt deal-breakers, because the key considerations of most potential customers are well acknowledged to "cover the bases"...

With an opportunity to identify issues in advance this way, there's much less reason to tolerate asking (or being asked) for the wrong thing. We see the path to getting it right.

Posted by Malcolm Ryder at 11:55 AM | Comments (0) | TrackBack

February 16, 2007

Mind Canary

For decades, as a precaution, miners have been reeling canary birds down into their mines to warn them of potential disaster -- as the canary is particularly sensitive to toxic gases such as carbon monoxide which is colorless, odorless and tasteless. If the canary dies, then the mine is dangerous.
A mind canary is very similar, with the word "mind" as a play off of the word "mine." If the "idea miner" sends an idea canary into the "mind" and it fails to return, then the mind may be lethal!

Thanks to marketing pro Alan Brooks at Mindcanary.com for memorializing this bit of Archestra legacy. He's adapted it a bit (as you'll see in the wording on his homepage) -- but to good purpose: he's guiding folks to safe mines. Hi Alan!

What do you do with a lethal mind? See "change management" and/or "knowledge management" -- at an Archestra location near you...

Posted by Malcolm Ryder at 6:28 AM | Comments (0) | TrackBack

February 15, 2007

Why "Best Practices" Improve Efficiency

Inefficiency comes from disorganization. To gain efficiency, and get ROI in that effort, typically we must organize specifically to meet demand. Naturally, this organization (verb) will rely on distributing responsibility (accountability) and assignments (resource investments).

But in the context of managing value, "inefficiency" is often attacked at the wrong level. Operational inefficiency is important but the more significant issue is the efficiency of the relationship with the "customer".

For a customer, the most valuable efficiency is about how consistently and readily events in the relationship are satisfying on demand, as opposed to how much there is a necessity for extra effort on the part of the customer if customer satisfaction is to be achieved.

This is efficiency in the same sense that we say a market is efficient: that is, where supply readily meets demand under terms that are economically favorable to both parties. In the matter of "best practices", supplier readiness is the focus.


So what exactly is "best" about best practices?

1 - "Best" doesn't assume any perfect world of complexity. It is problem oriented. It directs an approach to solving and preventing problems.
For different kinds of problems, different practices are best.


2 - "Best" is not about execution under supervision; instead, it's about managing by plan.
It is not primarily about processes, but instead about what expectations of processes are most reasonable and why they are.


3 - Yet, "best" is not about promised outputs. Instead, it's about optimization that removes barriers to availability and capacity.
It's about inputs, not outputs... environment, not results.

The following illustrates the relationship of factors in the best practice equation.

First there is an operational underlayer for driving quality and cost to needed levels. This is about production.

Then there is a governance layer that provides the organizational context and principle
for bringing production to customer relevance. This is where practice makes "best" or not.
It generates reliability by optimizing conditions in which cost and quality can increase
availability and capacity.

The punchline is that in the context of the customer relationship, operational "efficiency" is predominantly about the reliability (efficiency) that the customer finds in the relationship with the supplier, or else it doesn't matter.

Posted by Malcolm Ryder at 12:35 AM | Comments (0) | TrackBack

February 1, 2007

I.T. Without ITIL

The most exotic thing about information technology has always been terminology. It is the key to the scientific success of the field. But quite naturally, the complexity of the science also has meant that the terminology works steadily against any increase of ease in the field's practical management. More and more cats pop up that need to be herded. The net result -- a nightmare of semantics -- caused what the Gartner industry analysts noted over five years ago: the overwhelming majority of cost in I.T. comes from not technology complexity, but management complexity.

Perhaps that's why it is that in these last three years or so, the I.T. Infrastructure Library, or ITIL as it is commonly now known, gained traction with the kind of momentum carrying an industry standard. ITIL describes a huge range of management processes using a vocabulary of enormous logical consistency, which can make the semantics of management suddenly unambiguous despite IT's complexity.

At the same time, the sheer scope of ITIL is fear-inducing. Many of those who would use it fall into one of two groups: those who look for evidence that there is actual practical import to sticking the toe in the bathwater; or, those who religiously convert. Analysts like Forrester Research say that the former group is about 60% of the gang, while about 10% are fully pious and immersed, leaving the rest either just thinking it over or dabbling.

On the spectrum between the larger and smaller group, the larger keeps its practitioners cordoned off (but not quarantined) in a swim lane... handling the semantics of ITIL as another special expertise hoped to achieve some natural ascendency, the same way an innovation outstrips or obsoletes legacies. The smaller "immersion" group swims the rough open waters of large-scale revolutionary change in culture. Because ITIL is primarily documentation, there is not a real threat that either approach will alter it's ability to provide consistent guidance. But giving good advice is not the same as causing it to be followed. The top obstacle to following ITIL, ironically, is still confusion. Why is this the case? Simply put, corporate IT groups are forced to move at a pace that is much faster than their ability to absorb ITIL, and they are loathe to risk, much less give up, hard-won benefits from pre-ITIL practices. Yet behind those benefits, they often don't have an effective overview of where they already are. Thus, following along ITIL's paths, they constantly run into forks in the road that don't offer the obvious correct choice. Net: ITIL is a maze.To get over this hump, they still need a way to see, in short order, how they can connect the dots between their current practices and ITIL's.

Following suit, the perspective represented in the picture below simplifies the identification of the pre-ITIL circumstances, locating the starting line for a move to ITIL without the threats of disruption or of time running out.

The key assumptions in this picture are as follows.

First, no one really cares about I.T. except for whether it is perceived and proved to be useful.
Second, there are only two major points of view on that utility: the lifecycle of items composing the IT infrastructure; and, the production that composes IT operations.
Third, all of the IT management, whether in infrastructure or in operations, is essentially about two things: how things are (i.e., states), and how things happen (i.e., transactions).
Those three assumptions, when aligned as shown, organize every critical aspect of driving value from IT utilization. From this point, the rest is a matter of additional levels of detail.

Since management is popularly understood to be impossible without measurement, and since measurement can't happen without semantics, it is hugely important that the perspective drawn so far does not rely on confusing semantics and meanwhile shows analysis as an ordinary, not exotic, activity covering the field.

Within the general framework, four main phenomena surface as the major management subjects. Driving these down into daily practices makes sense under the assumption that the point of the practices is to establish value in the utilization of the info technology involved.

The utilization is established on two fronts. One is to give form to the actual information technology that users can ultimately access and exploit; this is what is called "IT Services". The other is to give form to the mechanism that creates and sustains that access and exploitation; this is what is called "Support Services".

In an unconventional but easily proved distinction, IT Services is about the provision of the IT configurations; whereas, Support Services is about linking the IT to usage requirements, as systems for use. (These systems are essentially and primarily logical, and secondarily take on physical form as the peculiarities of the company hosting them might allow them to at any time.) Usually, in effect, it's the difference between supply and demand, between service level management and service level agreement, and so forth.

As seen in the picture, the two kinds of services cover (i.e., attend to) the four major subjects in a certain way.The types of services relate to each other because they work on the same subjects. But the services differ from each other in what it is about the subjects that are the key points of their respective concern and influence. These key points are added into the framework's quadrants to clarify the high-level of analytic detail that really matters for the services. This level of detail is the one that initially accounts for the co-existence and co-influence of the two generic types of services (IT and Support).

For followers of ITIL: the difference between IT Service and Support Service is not indicated in the normal ITIL vocabulary. Instead, the generic concept of "management processes" proxies Support services that bring IT services to the user or customer. ITIL largely provides a taxonomy of those management processes, and most observers first engage the taxonomy of "delivering" IT Services (defining and developing them) versus "supporting" IT Services (maintaining and optimizing them). But at least half of the trick in adopting ITIL is to orchestrate its management processes into standing "Support Services" as described in this discussion's framework, which is oriented towards managing the value of utilization.

Posted by Malcolm Ryder at 4:50 AM | Comments (0)