Foundations Of Project Business Analysis - Prof. Johan
Cpjm6610 Foundations Of Project Business Analysisprof Johan Roossigna
Reviewing the provided material, the core assignment focuses on developing a comprehensive plan for elicitation within a project analysis context. Specifically, the task involves creating an elicitation plan that outlines the techniques, processes, and considerations necessary for gathering stakeholder requirements effectively. The exercise also includes understanding the broader project plan and strategic analysis for a business scenario, exemplified through the Skype and Starbucks case studies. The ultimate goal is to design a structured approach for collecting, analyzing, and utilizing data to inform project decisions, ensuring stakeholder engagement and data quality are prioritized.
Paper For Above instruction
The essence of project business analysis hinges on robust elicitation processes—systematically gathering requirements from stakeholders to inform project design and strategy. This paper explores the development of an effective elicitation plan, aligned with the overarching project plan, while integrating strategic insights from case studies such as Skype and Starbucks to exemplify practical application.
Fundamentally, elicitation is a critical phase that ensures the project team accurately understands stakeholder needs, expectations, and potential constraints. A well-structured elicitation plan incorporates diverse techniques tailored to project context, including surveys/questionnaires, focus groups, social media listening, and interviews. Each method has distinct advantages and challenges that must be carefully balanced to optimize stakeholder participation and data reliability.
Surveys and questionnaires present an efficient means to collect quantitative data from a broad audience. They are particularly useful when rapid feedback is essential, and when the questions are designed to target high-priority risks and known areas of concern. As exemplified in the Skype case, deploying online surveys through partnerships, social media, or company websites enables gathering extensive input while maintaining manageable timelines. However, surveys may suffer from response biases or low participation rates, which can be mitigated through incentives such as discounts or promotional offers, and by employing follow-up reminders.
Complementing surveys, focus groups facilitate qualitative insights, allowing stakeholders to articulate ideas and concerns in a moderated discussion. This method encourages active engagement and promotes a sense of ownership among participants, fostering collaborative problem-solving. In the Skype scenario, focus groups with end-users and domain experts could uncover nuanced issues related to product features or user experience. The primary challenge lies in coordinating schedules and ensuring productive moderation, which necessitates thorough planning, clear agendas, and pre-session preparation.
Social media listening has emerged as a vital tool for real-time sentiment analysis and trend identification. By monitoring platforms where users share feedback, companies can detect emerging issues, gauge public perception, and identify opportunities for innovation. As demonstrated in the Starbucks project plan, social media listening involves establishing objectives, monitoring channels, analyzing data, and creating responses. Data collected from these channels require careful cleaning—removing noise and irrelevant information—and analysis using tools like Excel or dedicated analytic software to identify patterns, sentiment, and stakeholder concerns. The insights derived inform strategic adjustments, aligning project outputs with stakeholder expectations.
Data management is crucial to ensure quality and consistency. Data stored in accessible repositories such as Google Drive or cloud-based platforms facilitates collaboration and version control. Preprocessing steps include removing duplicates, handling missing values, and standardizing formats, which establish a reliable dataset for analysis. Methods like thematic coding for qualitative data and statistical analysis for quantitative data enable a comprehensive understanding of stakeholder requirements.
Effective communication of findings is essential to ensure transparency and informed decision-making. Visual dashboards, summarized reports, and stakeholder presentations help convey complex insights clearly. Regular updates and feedback loops foster stakeholder engagement and facilitate iterative refinement of requirements during the project lifecycle.
Despite meticulous planning, risks to data quality persist—from biased responses, incomplete data, to technical issues. To mitigate these, organizations should implement validation checks, triangulate data sources, and maintain participant anonymity to reduce response bias. Training moderators and analysts further enhances data accuracy and interpretation.
In conclusion, a comprehensive elicitation plan integrates multiple techniques—surveys, focus groups, social media listening—and emphasizes data quality and stakeholder engagement. Drawing on case examples like Skype’s product evaluation and Starbucks’ project analysis underscores the importance of strategic planning in elicitation activities. By systematically approaching data collection and analysis, project analysts can significantly improve project outcomes and stakeholder satisfaction, ultimately driving successful business initiatives.
References
- Baxter, P., & Jack, S. (2008). Qualitative case study methodology: Study design and implementation for beginners. The qualitative report, 13(4), 544-559.
- Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied business research: Qualitative and quantitative methods. John Wiley & Sons.
- Eisenhardt, K.M. (1989). Building theories from case study research. Academy of management review, 14(4), 532–550.
- Gibbs, G. (2018). Analyzing Qualitative Data. SAGE Publications.
- Maxwell, J. A. (2013). Qualitative research design: An interactive approach. Sage publications.
- Patton, M. Q. (2002). Qualitative research and evaluation methods. Sage publications.
- Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students. Pearson education.
- Shmueli, G., Bruce, P. C., Gedeck, P., & Patel, N. R. (2020). Data Mining for Business Analytics: Concepts, Techniques, and Applications in R. Wiley.
- Voss, C., Tsikriktsis, N., & Frohlich, M. (2002). Case research in operations management. Journal of operations management, 20(4), 455-469.
- Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications.