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- August 1998 (Revised October 1998)
- Background Note
Note on Lead User Research
By: Stefan H. Thomke and Ashok Nimgade
Describes the Lead User concept and method (step-by-step) with brief examples from industrial practice.
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Thomke, Stefan H., and Ashok Nimgade. "Note on Lead User Research." Harvard Business School Background Note 699-014, August 1998. (Revised October 1998.)
- January 1995
- Case
Understanding User Needs
By: Marco Iansiti and Ellen Stein
Presents an introduction to methods for understanding user needs in product development. Describes a number of techniques including the use of focus groups, interviews, questionnaires, the Kano method, Lead User analysis, the Product Value matrix, OFD, etc. Provides a...
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Keywords:
Customer Satisfaction;
Customer Value and Value Chain;
Product Development;
Mathematical Methods
Iansiti, Marco, and Ellen Stein. "Understanding User Needs." Harvard Business School Case 695-051, January 1995.
- Research Summary
Managing Networked Businesses
Platform-based businesses that leverage network effects face a distinctive set of management challenges. A platform encompasses components and rules that facilitate interactions between the platform's users. A platform-based product or service exhibits a network...
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- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the...
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- Forthcoming
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and...
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Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science (forthcoming). (Pre-published online December 14, 2023.)