An essential question in innovation is how well the new product will be accepted by the customer once it is launched. Measures are needed to detect opportunities in early innovation stages and to move the right ideas forward in the value chain. FMCG companies particularly need to hit the market within a very short period of time. This research evaluates different key performance indicators with regards to their strengths in predicting the success of a product idea. Subsequently, the best predictor is then taken as the object for a co-creation task to effectively shape and rework ideas early in the innovation process. The method unites qualitative and quantitative methods: consumer's crowd voice (let them talk) and interaction (let them play).
Semantic Mining provides an effective way of statistically detecting the hidden information in texts, namely to identify patterns and interrelations, peculiarities and the essence of qualitative research data. The methodology is a hybrid between qualitative and quantitative analysis techniques, because it can extract quantitative key figures from large amounts of unstructured text. At the same time it still values each single verbatim of the respondents. Learn more from qualitative text data to gather deeper and more valuable insights about a company, brand, customer, competitor, industry, etc. for making better decisions.
This presentation illustrates a new way of engaging consumers in the product development process. With the help of innovative Web 2.0 techniques, new products are co-created WITH the consumer instead of developing a product just FOR them. The approach focuses on the early stages NPD process where initial concepts or products are developed and tested. A new online technique has been developed to acquire direct and detailed consumer feedback right on the test object. It brings together suppliers and consumers in a co-creative process where concepts, products or packages are created interactively. With the help of an online-reporting including visual online heatmaps and key measures empathetic understanding and intuitive insights should be enabled.
This paper describes the development and validation of a trendsetter segmentation model which provides the measurement of willingness to innovate and the potential for interpersonal influence on basis of four validation studies possible. The new instrument enables the identification of so-called 'trendsetters'. Trendsetters are people who sense innovations in the fields of technology, culture and politics in an early stage. The paper will show first applications including the new scale in online market research. It should especially enable fast moving consumer good researchers to anticipate consumer activities in dynamic markets instead of merely reacting to results measured in the past.