A Caboodle of Pragilematic Posts

I’ve been hanging out and posting at the ASPE SDLC blog.  Yes…I have their permission to do that.  Geesh.  Check em out Gilbert:

Six Things To Avoid When Reporting Project Status – Project status is about the facts and your strategy to address and manage those facts.

This Daily Standup Is a Joke – This article details some challenges associated with daily stand-ups and some potential strategies for dealing with these.

An Axiom of Project Success –  What’s the common thread to project success?  We’ve seen projects that should have died.  We’ve also seen projects fall apart that seemed like they were in the bag.  This post attempts to nail the overriding factor.

That’s Great…But How Does Agile Benefit Our Shareholders?  – Selling agile to key leaders in your organization takes more than just a thorough understanding of story points, and time-boxing.  This post brings it home for those wanting  a bigger bang for their agile swang.  Whatever that means.

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Custom Built Software Is a Depreciating Asset

Custom built software.  It occurred to me this week that this ‘asset’ as it’s categorized by GAAP is a depreciating asset, much like a car or piece of capital equipment ( machinery ).

Does it derive value?  Yes….indirectly.  But ultimately it’s value is underutilized, and quickly de-valued.

Imperfect as it is…there is little alternative….FOR NOW.   So what’s the best strategy for investing in this ‘asset’?

Minimize it.  The less you put in.  The less you lose.

Find the cheapest way to accomplish your custom software needs and invest in that first.  Any other investment strategy invites disappointment, and reduced expectations in the future.  This strategy, however stark, also recognizes the truth…..big things start small and simple.

Prove it out with a minimal project and then decide whether additional value could be derived.

Is There a Better Way to Estimate Capital Projects?

Introduction

“I don’t understand why you keep asking us to estimate the work. With all the time we’ve spent estimating we probably could have completed the first few requirements already. This is a waste of time!!” Ever heard something like this before? It comes across a little naive with regard to capital budgeting.  But there’s a good point in the vehemence…. Waste.

In this article we’ll rethink estimation.  We’re going to look at the machinery above estimation that catalyzes the need to predict effort and then propose a different way to target capital funding for projects.

Backgrounder

I don’t want to lose anyone here so I’m going to go over some basics of capital budgeting for internal use software projects and how that relates to estimating.  If you know SOP98-1 already then skip to the next section. Estimating can seem like a game.  At best it’s an educated attempt to predict the future using formulas and experience.  At worst its a W.A.G.  So why do we do it?  It all starts with how we account for the expense of developing internal use software. Internally used software is classified, for accounting purposes, as a fixed, long term asset.  In accounting speak: a capital expense.  That means it can be purchased for a set price and has a useful life greater than 2 years.  Capital expenses, like internally used software, can have their cost depreciated ( amortized ) over the useful life of the asset.  What does that mean?  It means that instead of realizing the entire cost of the custom software effort in one year…..you realize it over the useful life of the asset.  So if we intended some custom built workflow system to last 5 years and the entire cost of the initial development effort was $312,333.04 then we’d ( in a simplistic amortization schedule ) realize, report $62,466.61 in expenses per year for 5 years on each annual income statement.  Further the software’s depreciated cost would be listed as an asset on the corporate balance sheet each year until the full value had be amortized. The ying to the capital expenditure yang is the operating expenditure.  Operating expenditures are incurred, realized as they are spent.  There is no depreciation of cost.  If I have $125,000.00 in operating expenditures this year then $125,000 in expenses shows up in the income statement.  Operating expenditures are not considered assets and companies routinely seek to minimize their cost and flatten their growth.  How do they do this? Well….one way is by investing in capital assets that can help increase productivity.  So if I invest in some custom workflow system that will reduce the number of FTEs ( full time employees ) I need by 10% then that’s a potential long term realized gain in operating expense reduction: a.k.a. more profit for shareholders. Capital expense accounting can seem like magic if you’ve never heard of it before.  But there’s a very real justification behind it. What is that?  Simply put: if you’re capital asset increases profits each year after it’s implemented then those profits should be offset each year by the cost to develop that asset. Fundamentally, capitalization of IT expenses is an immense part of why companies invest so much in new technology.  The accounting allows us to derive value from capital investments.  Yes, technology is wonderful, but if internally used software expenses weren’t capitalized you’d see IT budgets shrink drastically.

Estimating

Awesome.  So how does this relate to estimating the effort on a software project.  Remember this line from above: That means it can be purchased for a set price and has a useful life greater than 2 years?  A capital project is an investment or a series of investments.  Knowing the price up front each year creates two things:

  • The funds needed to purchase that investment.
  • The cost basis to use in constructing a model of investment return.

Each of these capital investments are compared against each other using a % return ( IRR ) or more commonly using NPV ( Net Present Value ).  Some are required and ‘must be done’.  But the rest are optional.  So leadership uses the projected investment return to determine which ones will benefit the company most.  That becomes a short list of capital projects to fund for the fiscal year. Now, when these projects are initially compared developers may have been involved in the estimation process or they may not have been.  But regardless the estimate is usually classified as a ROM ( Rough Order of Magnitude ).  Once the project is funded another round of more detailed estimating occurs with the development team for the strict purpose of validating the ROM.  If our detailed estimation shows we have inadequate funds then we need to make a decision:  cancel the project or increase the investment.  But if we increase the investment…how does that affect our return?  Should we do a different project instead?  You see where it’s going.   Estimation is a fundamental part of determining the capital project landscape.  It’s the basis for determining the initial and subsequent investment to achieve an estimated return.  Software is just a means to the real end: increasing organizational productivity.

Capital Budgeting Hasn’t Kept up With Agile Practices 

The astute among you will recognize how this financial model of capital budgeting doesn’t fit what you’re actually doing in agile software development.  Big shock…right?  Agile techniques are operational practices.  They aren’t financial, business practices.  Estimating each iteration using planning poker or whatever method has no applicability or affect on the overall investment.  Just because the development team boosted the number of story points in the release…doesn’t mean someone magically added more money.  Capital budgeting doesn’t take place every 2 weeks.  It’s usually an annual event in corporations, although some companies will extend their capital planning for longer horizons ( 2 or 3 years ).  Accounting is the architectural tool that builds business models.  It runs in annual and quarterly cycles.

But It’s Wasteful

Ok, so back to the top.  It may be fundamental to determining the annual capital project garden for XYZ Inc., but the estimates are usually inaccurate and they waste precious time in construction.  Regardless of method…capital projects rarely hit their exact mark.  This pushes many companies to see IT as a money pit to minimize.  Isn’t there a better way for determining our cost basis for capital projects?  Maybe one that doesn’t require us to estimate anything? Everything about capital budgeting is hard to change because it isn’t up to the company.  It’s regulated by FASB.  They define all these rules, and help to police them.  The government recognizes FASB’s standards in lawsuits and for that reason they have the affect of law.   Creative experimentation with accounting standards inside companies is something that people go to jail for. So change in accounting practices and standards is slow and carefully considered.  After all you’re monkeying with the monetary machinery of global industry.  There had better be a good reason for any change. So the next section proposes an idea for change to FASB’s capital budgeting rules.  Do NOT exercise this idea in your company.  There is no provision for this idea in FASB’s standards to my knowledge.  I offer it up simply for conversation and debate….not actual practice.

Relative Targets

When we’re looking at capital projects we need to know the expected revenue ( or savings ) generated by the project after completion and the expenses ( investment ).  Estimating, at least in IT land, deals mostly with the expense side. This is usually done in a very detailed fashion, but with relative targets I’m proposing we skip the estimation and just come up with a tolerance level.  How does it work?

1. Determine your expected revenues ( or savings ) if the project is implemented.

2. Determine your return thresholds.  There should be three.  You could do this with NPV or IRR.

  • The return you’d ideally like to get.
  • The worst return you’d tolerate ( yes it can be negative ).
  • The middle ground between these.

3.  Once you have these 3 thresholds you can then back calculate the capital requirements necessary to fulfill these return levels.  We’ll work through an example in a moment.  But here is the formula we’d use:

Formula to calculate investment for targeted NPV

C = NPV – R / ( 1 + r )

where

  • NPV = Targeted NPV
  • C = Investment required to reach targeted NPV
  • R = Revenue realized in each period
  • r = discount rate

4. Next you’d do a gut check.  Can we really do this project for anyone of the calculated capital thresholds identified?  If we can’t…then we shelve the project.  If we can then we would setup 3 tranches of capital per project correlating to the thresholds.  You’d start off by shooting for the ideal return scenario.  If that didn’t work…you’d make a decision to move on to the middle ground threshold or cancel the project and expense the loss.  The same would occur for the worst case return.

Example

So let’s say we have a project that we know will generate the following savings in years 1, 2 and 3.  Year 0 is our capital investment and what we’re trying to solve for.

Year             Cash Flow
0                 $???,???
1                  $200,000
2                  $300,000
3                  $200,000

Ok, so we know our estimated benefits from doing this project.  Now we need to figure our our three thresholds for year 0 capital funding.   Ideally we want to maximize our benefit.  So let’s say in consultation with the business we determine that these are our NPV thresholds:

  • The return you’d ideally like to get:  The most ideal return would be one that requires no investment at all and we receive the present value of the expected benefits – $580,015.02.  But this is unrealistic.  It does, however, give us an upper boundary to our ideal return.  So we’ll say that a more realistic ideal scenario is $400,000.00 in NPV.
  • The worst return you’d tolerate:  This could be negative.  Maybe you’re willing to lose money to get this software project completed. Good examples would be where there is a regulatory requirement associated with completing the project.  In this example we’ll say that the worst return we’re willing to tolerate is $100.000.00.  This is above zero, but shows that we’re looking for some monetary benefit.
  • The middle ground between these: I’ll just take the average between these two…..$250,000.00.

Great…now we just plug these values back into our formula to derive the initial maximum investment allowed to hit each threshold. We’ll use 10% as our discount rate.

Ideal Investment:

$400,000 – ($200,000/(1.10 )  + $300,000/(1.10²) + $200,000/(1.10³)) = -$180,015.02

This says that the most ideal return would require for our investment to not exceed $180,015.02.

Worst Case

$100,000 – ($200,000/(1.10 )  + $300,000/(1.10²) + $200,000/(1.10³)) = -$480,015.02.

This says that to achieve the worst investment return tolerable the investment must not exceed $480,015.02.

Middle Ground:

$250,000 – ($200,000/(1.10 )  + $300,000/(1.10²) + $200,000/(1.10³)) = -$330,015.02

Here we believe that to get a return of $250,000 we’ll need to make sure our investment does not exceed $330,015.02.

Now that we have our tolerances we can do a gut check and see how realistic it is to complete the project based on each level of funding:  $180,015.02, $330,015.02, and $480,015.02….or anywhere between them.

If our gut check tells us we can complete this project then we’d fund the tranches and start on the project.  If not then we’d drop this project altogether.

Summary

Relative targets take us out of the game of detailed estimating and instead push us to delivery within some tolerances.  This is a more natural way to manage a risky endeavour and affords us some built in cushion that everyone agrees is acceptable to the business’ needs.  We also pre-build fault tolerances, trigger points that force us to reflect on the project’s viability.  Here I suggest that there should be three of these tolerances, but there’s nothing preventing a company from setting up 4,5, or 10.

Central Spin – January 24 2012

Background on SPIN

The Software and Systems Process Improvement Network (SPIN) is a global organization, founded in 1991, of professionals dedicated to the improvement of software development and systems engineering. CentralSPIN, headquartered in St. Louis, Missouri, is the newest SPIN chapter.  CentralSPIN supports members from the Central US region, including St. Louis, Chicago, Dallas, Denver and Atlanta. The chapter is affiliated with the Software Engineering Institute at Carnegie Mellon University (www.sei.cmu.edu/spin) and is sponsored by Daugherty Business Solutions (www.daugherty.com).

CentralSPIN is the newest of 119 sister SPINs in cities across the U.S. and around the world. SPIN’s mission is to provide leading, practical, and timely content on various process improvement topics for the IT industry. The CentralSPIN organization serves as a source of educational and practical information for its members, other SPIN organizations and the general community of project managers, business analysts and software professionals. Membership is free and open to all. The goals of CentralSPIN are to:

1.     Enhance members’ knowledge and skills through an active program of networking, publication, recognition of excellence, and mutual support

2.     Help sustain organizational commitment to the improvement of software excellence, maturity, and system processes, with particular focus on enabling project management and business analysis capabilities.

If you plan on attending,  click here or use the Register link below.  Membership and attendance are free, so please feel free to forward this to anyone else that you think may be interested.

Old Houses

Legacy software, in some ways, is like an old house. There are features that one might consider defects, errors or poorly implemented designs. A badly hung door. A sink in the wrong spot. Not enough outlets in a room. But the inhabitants adapt, cope and even harness utility out of the malfunction.

They implement patches, fixes, and add-ons to address the *issues*. But they never truly fix all of it. Instead they run more extension cords, tighten the hinges every month, or modify their behavior for washing, cooking or cleaning. They work with the old house, and the legacy software….accepting it as incomplete and adequate enough. A sort of perfection in imperfection.

Just as with software, houses have features that are too costly to fix, too embedded within the culture to remove, and too risky to replace. Is this acceptance of mediocrity or recognition of reality?

The plateau of legacy software is marked by this adaptation and acceptance of what is. There is no more striving for a better, greater product; there is just a kinship with the present. The power user rules this lifecycle. He or she knows the tricks, short cuts, bugs-but-also-features, and data rules of the product. They become one with the development team and a common bond forms.

Old software is the stock of the enterprise IT shop. Reliable, if only because we know how it doesn’t work. Dependable, if only because we know how and when it will fail. Usable, if only because we’ve learned to accept its flaws.

What Techniques Do You Use Most To Deliver?

The poll is multiple choice, and you can add your own too.

Development Shop Productivity – Should You Outsource?

Introduction

CIOs, executives and development managers will find the most interest in this article.  We’ll focus on a productivity measure for custom software development and how it may help you justify outsourcing your software development shop.

The Problem

How do you justify outsourcing your development shop when you know the immediate cost savings may not be there?  The trend toward mega-software development outsourcing shops isn’t slowing down.  But the gains to Fortune 500 enterprises are not always immediate.  You’re gut says it to you every day:  “It’s better to let someone else do this.  We just aren’t good at developing our own systems.  The bugs, the time, the bad requirements…”  But, how do you justify your gut?

A Formula to Measure Your Progress

I’ll skip past all the BS on the benefits and costs of outsourcing.  You can look these up with Gartner, About.com or some independent analyst’s site.  What I will present is a new formula for measuring your custom development shop value and tracking it relative to an outsourced effort.

Here’s the formula:

Custom Development Value Added = CDVA
Capital Dollars Invested = C
Operating Dollars Invested = O
Return on Investment from any completed projects  = NPV
Hours spent gathering & defining requirments = ReqH
Hours spent fixing bugs = BugH
Hours spent addressing help desk tickets = TickH
Hours invested in training = TrainH
Hours of Time Off = OffH

CDVA = ((C + O) - NPV ) / (( ReqH + BugH + TickH ) - ( TrainH + OffH ))

Let’s talk through it.  CDVA is your development shop’s productivity. The first thing you’ll want to do is baseline this for your current shop over a year and then determine how it compares to any outsourcer’s proposal.

The numerator in the equation represents your financial investment in custom development.  The denominator represents labor expended relative to this investment.

So over time you want to see your CDVA increase regardless of your outsourcing decision.  If the trend goes down or stays stagnant then it’s time to seek improvement.  There are some diminishing returns here, and you may need to make periodic investments to see greater value added later on.  But the point should be clear; we’re measuring the return on our development shop’s productivity overall….rather than on a project by project basis ( which can be very misleading ).

You determine the periodicity, but measuring this at every fiscal month makes sense to my inner accountant.

You might ask why I chose measuring hours around bugs, requirements, and trouble tickets and not the overall development effort? Well….experience tells me these are the areas with the greatest variability and also the areas where expertise and experience shine.  Those who are good at software and application development can do so with minimal bugs, less requirements analysis and their end product typically needs very little support ( I can see some CIOs smiling right now ).

Summary

Outsourcing is like any business venture and may require some upfront investment to see returns over time.  But, while this is intuitive it isn’t always measured in a consistent way that takes account of key development metrics like bug counts, support tickets, and requirements time.  Hopefully this article presents a way to do just that.  Enterprise IT is under increasing cost pressures and given the historical waste and loss associated with custom application development it only makes sense to look at outsourcing vendors who have the focus, experience, expertise, and clout to deliver.  Now IT executives may have a measure to justify and track that or at least show their shop is improving.  😉