1. [Future Developers and Service Managers]
Sensor-based Time Tracking Productivity application for IT professionals
[Future Developers and Service Managers]
Fellows Consulting Group, LLC
Fall 2018

2. What is Productivity?
Definition - A measure of the efficiency of a person, machine, factory, system, etc., in converting inputs into useful outputs.
Productivity is computed by dividing average output per period by the total costs incurred or resources (capital, energy, material, personnel) consumed in that period. Productivity is a critical determinant of cost efficiency.
Example - Labor productivity is the amount of output per worker. The productivity of a factory worker making footballs, could be measured by how many footballs they make in one hour. The more they produce, the more they contribute to profits for the company
 Productivity = total output / total input

3. IT Services Productivity Questions
What activities did you work on today?
What customers did you solve problems for today?
Should your time be billable?
What output did you produce today?
When did you start working today?
How long did it take you to produce the output?
Why is Team A more productive than Team X?
Why can Developer A produce two function points (LOC) per day?
Why can Service Manager A close five incident tickets in one hour?
What tickets did Service Manager A close today?
How many incidents did you resolve within SLAs?
How many new features were completed by Developer A?
What does Google know about the daily activity of Developer A?
Can Google do the data entry of Developer A’s timesheet?

4. Time Accounting As-is Developer WBS Activity Time Sheet – SAP
[Data entry form]
Service Manager Ticket Resolution Clock
[Data entry form]

5. Sensor-based Time Accounting [Uses working context to generate accounting data]
1. Code data..
1. IT Service Management data..
1. Planned activity data..
1. SLA metrics data..
1. Code commits..
Events and context
Events and context
1. Location, contacts, call log data..
1. Employee Human Resources data..
1. Aggregate sensor data to produce a fine-grained personal activity log
2. Extract to automatically generate timesheet and ticket resolution clock
1. Search, download data..
1. Keyboard, mouse data.. …
1. message data..
3. Present generated timesheet and ticket resolution clock for approval, modification and submission
1. calendar data..

6. Project Goals
Minimize manual daily operation data entry through sensor automation
Maximize productivity by automatically providing sources for productivity metrics [OutputCounts/InputEffort] by time-stamping individual activity
Seamlessly integrate with: software development tools, service management tools and activity planning tools..
Maximize personal and team production efficiency
Minimize accounting variation and costs

7. Project Plan
Research open-source professional time tracking applications to be extended for the prototype. Produce a research report [3 weeks]
Design, build and demonstrate a 21st century prototype IT time tracking application with a fine-grained personal activity log database [ 7 weeks]
Integrate the application with multiple software sensors: one software development tool sensor and one additional sensor [3 weeks]
Aug
7 Sep
14 Sep
Sep REQ
28 Sep DSG
5 Oct COD
12 Oct COD
19 Oct COD
26 Oct TST
2 Nov TST
5 - 9 Nov DSG
16 Nov COD
30 Nov TST