5 Zinnov will define the productivity drivers and metrics using experiences from other engagements and through discussions with Client (1/2) Definition of Productivity Metrics for the Engineering Group A C B
Key metrics required by Client to measure productivity will be determined and appropriate metrics will be identified
Metrics could be based on factors such as center maturity, people maturity, product maturity or PDLC process
6 In addition will baseline and finalize the metrics and drivers Metrics and Drivers baseline 1 2 3 4 5 Define baselines Map complexity vs. impact Analyze impact on productivity Analyze data collection complexity Review with stakeholders Productivity Drivers Productivity Metrics P A Q R H H E M I Complexity in Collecting Data Complexity in Collecting Data K K D M D M C C O F O R G B Q L A Impact Impact 6
7 An excel modeler will be developed that will assist in the collection, monitoring and tracking of the drivers and metrics
Metrics and driver information will be inputted into the modeler
To plot relationship between the metrics and drivers
The modeler can also be used as a dashboard to measure the health of the projects
8 The productivity metrics will be represented as a dashboard to executive management team Planned Vs. Actual Hrs Percentage Engineering Effort Sample Output Details of Bugs re-opened Planned Vs. Actual features 8
9 Case Study 2: We assisted a industry leading product company in defining the productivity and quality measures and benchmarking them in their global centers Challenge: Productivity measurements were frowned by the client stakeholders due to the complexities involved. Executives were frustrated with the level of details and assumptions provided Key Challenges
Process and metrics should to be simple yet powerful
Ability to easily compare productivity across Business Units and Geographies
- Strong framework that would minimize assumptions Created Objectives Zinnov and the client worked to propose an objective mechanism to measure the productivity of Development and Quality teams Defined Frameworks Framework was defined to measure the complexity of the product based on the architecture, feature set, functionality size, internal/external interfaces, data structure etc. Measured Efforts A simple mechanism was devised to calculate the efforts using the experience levels, size of the team, man hours for each activity etc. Zinnov Solution Output Metrics For the quality engineering teams also, similar complexity metrics were defined using number of bugs captured, number of bugs not captures, percentage of automation etc. Compared Productivity Using the weighted averages of the complexity and the engineering efforts, we were able to get the directional productivity comparison between teams working across the organizations 9
10 Case Study 2: We assisted a industry leading product company in defining the productivity and quality measures and benchmarking them in their global centers Output: The questionnaire based framework along with the dashboard view provided key insights to the executives on the productivity and quality differences between the teams Deliverables
Framework with the guidelines for the input
Comprehensive questionnaire with details on scoring mechanism
Excel based tool to capture the complexity of the team based on the User input
Dash board view to objectively compare the differences between teams
Ability to measure the directional measure productivity without getting into complex calculations Simple efforts from the clients to collect, measure and monitor the metrics on an ongoing basis Normalizing the assumption to minimize the error in measurement KEY BENEFITS Ability to measure metrics across business units, product/feature based teams and geo diversified teams 10
11 Case Study 3: We engaged with a mid-sized product company to analyze the productivity of their product development teams Output: Apples to Apples comparison between global teams were not feasible due to the maturity of the organizations. Only the engineering metrics were collected which resulted in dissatisfaction across teams Companies Vs. Client Experience – Development team 31 18 Number of Software Developers 11 6 Years of Experience 11
12 Case Study 3: We also provided recommendations to enhance productivity Output: On the basis of our analysis, the Client looked to resolve some constraints that impacted the productivity of the teams Organization cultural issues
There seems to be a high level of threshold for non-performance in the organization. There were not many who had been let go due to non-performance.
There has been no instances of successful initiation and implementation of change initiatives.
Project model with inbuilt overheads
There are number of projects still in a split team model. The projects carry an inherent overhead in terms of communication and management time from the US. It is also extremely difficult for the US managers to track the tasks executed by the local teams.
Lack of well-defined product planning process
Even the product managers of different products were not clear on the roadmap for those products. There were at least two scenarios where the engineering team spent months building features/add-ons that the product managers were not aware of or had consented to.
Lack of domain exposure to India center
Most of the engineers have never met a customer or even seen a video of how the customer uses the products that are built from the India center. Only few engineers have been exposed to customers at trade shows.
13 About Zinnov Zinnov helps organizations globalize their business and improve people strategy. Our consulting solutions are based on rigorous research techniques, data analytics and communities Zinnov Research: http://www.zinnov.com/white_papers.php Zinnov Blog: http://zinnov.com/blog/ Zinnov Services: http://zinnov.com/services.html Zinnov Events: http://www.zinnov.com/zn_events.php Zinnov LinkedIn: http://www.linkedin.com/companies/30724 Zinnov Facebook: http://www.facebook.com/pages/Zinnov/111718952202627 @zinnov For additional details on the topic, contact email@example.com
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