A project's scope specifies the work needed to deliver a product, service, or result, given specified features and functions. At its core, scoping a project requires accurately predicting the allocation of resources for a given initiative in a way that forecasts answers to questions about performance, including timeline, cost, and deliverables. Such a skill is highly valued by organizations but is rarely taught formally. This technical note offers an overview of project scoping, defining related terms and tools such as project charters, Work Breakdown Structure (WBS), and action plans. It places project scoping in organizational context and discusses drivers and indicators of scope quality, along with potential pitfalls.
ZS Associates, a global consultancy, has been hired by the head of marketing at the global pharmaceutical firm Rensselaer to identify a promising strategy to protect and grow Rensselaer's oncology business. Currently, Rensselaer is a large player in the market, but its intention is to grow this business into the "largest" in the industry within the next decade. Combined with this long-term ambition, Rensselaer faces the acute, near-term worry that one of its key products (generating almost one-fifth of sales) is facing patent expiration. Anna Schumacher is charged with presenting a recommendation to Rensselaer. She has identified several promising drug candidates (assets) that Rensselaer could pursue in its project-development portfolio. Now she must decide which of the assets Rensselaer should prioritize, given the firm's current strategy and objectives and the competing interests of several departments within the company. This disguised field-based case is taught at Darden in the second-year MBA elective "Managing Innovation." It can also be adapted for courses on new product development, core strategy, and project/program management. The case is also suitable for Executive MBA and Executive Education audiences, which are likely to have experienced portfolio decision-making. Given its content and context, it can also be particularly applicable for audiences in the consulting industry or with a background in the pharmaceutical industry or biological sciences.
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer experience platform. With full cross-channel integration, CEE operated using 450 machine learning models that learned from a total of 157 billion data points. Against the backdrop of a once-in-a century global pandemic, CEE had helped the Group deliver a strong financial performance while also supporting customers with assistance packages designed in response to the coronavirus outbreak. Six years earlier, in 2015, financial services were embarking on a transformation driven by the increased availability and standardization of data and artificial intelligence (AI). Speed, access and price, once key differentiators for attracting and retaining customers, had been commoditized by AI, and new differentiators such as customization and enhanced interactions were expected. Seeking to create value for customers through an efficient, data-driven practice, CommBank leveraged existing channels of operations. Angus Sullivan, Group Executive of Retail Banking, remarked, "How do we, over thousands of interactions, try and generate the same outcomes as from a really in-depth, one-to-one conversation?" The leadership team began to make key investments in data and infrastructure. While some headway had been made, newly appointed Chief Data and Analytics Officer, Andrew McMullan, was brought in to catalyze the process and progress of the leadership's vision for a new customer experience.
This tech note is designed to introduce general management students to the body of work associated with agile and its current state of practice. While anchored in a simple 68-word manifesto, agile now offers guidance on applied practice across ideation, design, development, and deployment of working products. This note describes how teams use agile to focus their work and apply current practice across disciplines like design thinking, Lean Startup, and DevOps.
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools are then described: mean squared error (MSE), mean absolute deviation (MAD), Brier score, and cross-entropy, true/false positives/negatives, the confusion matrix, true positive rate (sensitivity or recall), false negative rate (Type II error rate), precision, true negative rate (specificity), false positive rate (Type I error rate), receiver operating characteristic curve (ROC) and area under the curve (AUC), and precision-recall curve.
Ment.io was a software platform that used proprietary data analytics technology to help organizations make informed and transparent decisions based on team input. Ment was born out of founder Joab Rosenberg's frustration that, while organizations collected ever increasing amounts of data, the information gathering process did not capture human insights, which he viewed as critical to the use of the data. In early 2020, Rosenberg felt that the company he had started five years ago was taking off, but he wondered how to manage the team's limited engineering resources to help Ment stand out in a crowded software market. Should the company improve Ment's user interface, develop new features, or focus on its innovative algorithm?
The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company's agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the iterations of its technology and its business model, and lays the ground for the competitive outlook. The case provides a detailed overview of how Vispera's technology and its automated visual analysis help retail and fast-moving consumer goods companies around the world to minimize stock-outs, increase sales, reduce personnel costs, and improve operational efficiency. In 2016, the debut of Amazon Go urges the retail players to up their game vis-Ã -vis technology. Demand for automation and computer vision in the retail surges. In a land-grab market, Vispera strives to grow globally, differentiate itself, keep its technology cutting edge, and raise capital. In 2019, taking a step back from all of the daily to-dos, Ercil needs to consider the big picture for making Vispera a leading global player. She needs to consider the following: Should the team focus on developing shelf availability and out-of-stock prediction capabilities or focus on dynamic pricing, customization, and real-time campaign management? Should Vispera pivot to provide insights beyond the shelf as was already being done by players entering the space? How should the team think about data ownership: Could Vispera leverage the data to drive cross industry insights or market level perspective?
In its 2019 Partner Symposium, 2U, an online program management provider (OPM), showcased its new vision: "Career. Curriculum. Continuum. A construct for lifelong learning in the 21st century". 2U, founded in 2008, and went public in 2014, was looking to expand beyond their current degree offerings to include a wider range of programs, such as short courses, bootcamps, and professional certificates. Led by co-founder and CEO Chip Paucek, 2U believed that they were the strongest partner in the OPM market that could enable universities' digital transformation, allowing them to offer a variety of courses to a changing student profile. The universities, on the other hand, recognized that times were changing and that the appeal of a residential experience might be dwindling. Pressures of offering a more flexible learning format were mounting. Some schools were engaging in partnerships such as with 2U to get themselves online while others saw digital and online as the next evolution of instruction and that it was their responsibility to learn how to master it and own it. The case considers Paucek's challenge of leading a for-profit OPM. Was 2U growing in a way that risked alienating their most important stakeholders, the brand named universities themselves? Were the university leaders going to change their approach and start investing in the digital transformation themselves to avoid giving 2U a cut of their revenues?
Kris Alexander is a newly appointed partner at the private equity firm Kohlberg & Co. Alexander is preparing an exit proposal for one of Kohlberg's portfolio companies, the TeeGolf Company. Alexander believes that TeeGolf has a great opportunity of selling for a purchase price that would achieve a return equal to or greater than the firm's target IRR of 25%. However, Alexander was concerned about the viability of the sale. Specifically, he wondered: would strategic buyers, who would pay premiums to financial sponsors, actually be interested in this business? How would the firm negotiate amongst potential buyers if several submitted bids? What if there was only one buyer interested? Had Kohlberg's valuation accounted for a potential recession? How should he account for the investment banking adviser fees in his recommendation to sell? To answer these questions, students will be required to evaluate different exit strategies from multiple perspectives, understand how to work with a leveraged buyout analysis, a discounted cash flow, and how to add in the effects of synergies. A negotiation exercise between Kohlberg and two potential buyers, private equity firm Leonard Green Partners and a strategic buyer GoGolf, can support the learnings around asymmetric information, ZOPA, and BATNA. This case works well in a module covering firm valuations and financial negotiations. It would complement the HBS note on negotiations and cases such as Kelly Solar and Wrigley/Mars.
Kris Alexander is a newly appointed partner at the private equity firm Kohlberg & Co. Alexander is preparing an exit proposal for one of Kohlberg's portfolio companies, the TeeGolf Company. Alexander believes that TeeGolf has a great opportunity of selling for a purchase price that would achieve a return equal to or greater than the firm's target IRR of 25%. However, Alexander was concerned about the viability of the sale. Specifically, he wondered: would strategic buyers, who would pay premiums to financial sponsors, actually be interested in this business? How would the firm negotiate amongst potential buyers if several submitted bids? What if there was only one buyer interested? Had Kohlberg's valuation accounted for a potential recession? How should he account for the investment banking adviser fees in his recommendation to sell? To answer these questions, students will be required to evaluate different exit strategies from multiple perspectives, understand how to work with a leveraged buyout analysis, a discounted cash flow, and how to add in the effects of synergies. A negotiation exercise between Kohlberg and two potential buyers, private equity firm Leonard Green Partners and a strategic buyer GoGolf, can support the learnings around asymmetric information, ZOPA, and BATNA. This case works well in a module covering firm valuations and financial negotiations. It would complement the HBS note on negotiations and cases such as Kelly Solar and Wrigley/Mars.
Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or "horse race" in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.
Two recently graduated MBA students are tasked with developing an ad-serving learning algorithm for a mobile ad-serving company. The case illustrates the way in which hypotheses can be tested in an A/B format or "horse race" in order to establish customer preferences and superior profitability. The case was written for a course elective covering hypothesis testing.
After years of development, William Krause knew that 2014 was the year to "go big or go home." His Flexible Herbert Screw, a medical device intended to support the healing of fractured collarbones (clavicles), was ready for launch, and he had accumulated the necessary cash?$1 million by his reckoning?needed to comfortably see him through the start-up phase. Although evidence in favor of the invasive device was still inconclusive, other key players were now entering the space with remarkably similar technologies.