Proven forecasting techniques; Accurate forecasts with fewer estimates.
Your biggest project risk: Using outdated traditional risk matrix techniques
I.T. Analytics Experts
Industry leaders in Agile analytics and forecasting
Let Troy Magennis, Larry Maccherone and John Cook help you.
What we do…
Forecasting – Industry leaders in probabilistic forecasting Agile projects.
Portfolio Planning – Practical solutions to achievable plans.
Risk Management – Find and manage important risks in Agile projects.
Metric Selection – Analytics programs that don’t destroy morale.
Our capabilities lay in the advanced analytics of Agile IT teams and processes. We are called upon as trusted advisors with deep quantitative skills in the IT industry. We have proven experience at giving concise and accurate answers to tough business questions. We may use complex math, but we speak plain English.
Seattle: 14th October: Dial “M” for Metrics: Agile Metrics and Data Science is a one day seminar covering the entire Agile metrics process, from selection through to reporting. After this seminar, participants will be well versed in all aspects of Agile metrics and data science for use in their own IT organizations.
From The Blog
Errors in formulas in complex spreadsheets can be hard to detect. After a few compound formulas (one formula depends on the output of another), the permutations can be large to enumerate. Traditional software development uses unit testing to help initially write code by initially failing, then passing as code is written, and to confirm code continues to work after...
We often build tools that help forecast or teach the concepts behind our statistical methods. Turning our internal tools into public property takes some time and tuning. The spreadsheet performs a Monte Carlo simulation to generate a delivery date forecast for a single feature. There are no macros, everything in this spreadsheet is based on formulas. Features – Given...
OK, its about time but we have a draft document of our SimML specification. We have tried multiple formats and often struggled to keep the documentation in sync with our rapid releases. We do releases at least every month, and it was difficult to maintain. We want your feedback on this format: https://github.com/FocusedObjective/FocusedObjective.Resources/blob/master/SimML%20Reference.xlsx?raw=true The latest is ALWAYS publically available...
Initial estimates of the amount of work for a project or idea lacks detail. Attempting to forecast using historical rates would be in error if: 1. The granularity of work breakdown differs from historical samples. 2. The project isn’t completely fleshed out as to what features are required 3. The project ignores system and operational issues. New environments, changes...
When planning, either on the back of a napkin or using more statistical methods, some estimation of “how long” is often needed. Precision will differ depending on needs, for example it might just be good enough to know the calendar quarter to confirm that a new website will be in place well in advance of a promotional period. Other...
Paper: The Economic Impact of Software Development Process Choice – Cycle-time Analysis and Monte Carlo Simulation Results
Troy Magennis has recently written a paper on economic impact of Agile calculations using a variety of cycle-time analysis and Monte Carlo techniques. We would like feedback on this paper and especially contrary views. Download the paper here: The Economic Impact of Software Development Process Choice – Cycle-time Analysis and Monte Carlo Simulation Results Abstract: IT executives initiate software development...