Chapter One — 1.1 Background to the Study

Over the past decade, the relationship between data-driven product decision making and customer satisfaction with digital products has become a subject of considerable debate among scholars and industry practitioners alike, particularly within the context of Enugu State where operating conditions differ markedly from more developed markets.

Within the context of Enugu State, this relationship carries particular significance. Organizations in this setting operate under a distinct combination of economic, regulatory, and market conditions that may amplify or dampen the effect of data-driven product decision making on customer satisfaction with digital products, making a context-specific inquiry both timely and necessary.

1.2 Statement of the Problem

While data-driven product decision making is widely discussed in policy and industry circles, empirical evidence on its actual effect on customer satisfaction with digital products within Enugu State remains sparse and, in places, contradictory. This lack of localized, rigorous evidence makes it difficult for decision-makers to know with confidence whether current approaches to data-driven product decision making are helping or hindering customer satisfaction with digital products — a gap this study sets out to close.

1.3 Objectives of the Study

1. To examine the effect of Data-Driven Product Decision Making on customer satisfaction with digital products in Enugu State.
2. To assess the extent to which data-driven product decision making influences customer satisfaction with digital products within the study area.
3. To identify the challenges associated with data-driven product decision making in relation to customer satisfaction with digital products.
4. To recommend strategies for optimizing data-driven product decision making in order to improve customer satisfaction with digital products.

1.4 Research Questions

1. What is the effect of data-driven product decision making on customer satisfaction with digital products in Enugu State?
2. To what extent does data-driven product decision making influence customer satisfaction with digital products within the study area?
3. What challenges are associated with data-driven product decision making in relation to customer satisfaction with digital products?
4. What strategies can be adopted to optimize data-driven product decision making in order to improve customer satisfaction with digital products?

1.5 Significance of the Study

Beyond its academic contribution to the field of product management, this study has practical value for management teams within Enugu State seeking to understand how data-driven product decision making translates into measurable outcomes around customer satisfaction with digital products. It is equally useful to students and future researchers looking for a localized empirical reference on this relationship.

1.6 Scope of the Study

The study is limited to an examination of Data-Driven Product Decision Making and its relationship with customer satisfaction with digital products within the context of Enugu State. It reflects a MSc-level scope of analysis and relies on data and perspectives available within that scope; generalizing the findings beyond this specific context should therefore be done with appropriate caution.