The chasm is the gap in the technology adoption lifecycle between the early adopters and the early majority. The early adopters are visionaries who are open to trying new technologies, whereas the early majority are pragmatists who are more cautious and skeptical. The chasm occurs due to the different expectations and requirements of these two groups. A product that appeals to the early adopters may not appeal to the early majority, who value reliability, compatibility, and convenience over novelty and differentiation. Therefore, a product needs to cross the chasm by finding a niche market, establishing a clear value proposition, and creating a strong word-of-mouth.

Crossing the Chasm & Scale Your SaaS: This article from Userpilot provides a practical guide on how to cross the chasm and scale a SaaS product, with examples and tips on finding product-market fit, defining a beachhead market, and creating a whole product.

Crossing the Chasm in the Technology Adoption Life Cycle: This article from Business to You explains the concept and purpose of the technology adoption lifecycle and the chasm, and how they can help marketers understand and target different customer segments.

The BMC is a strategic management tool that lets you visualize and assess your business idea or concept. It consists of nine boxes that represent different fundamental elements of a business, such as customer segments, value propositions, channels, and cost structure. The BMC helps you to design, analyze, optimize, and communicate your business model, and to test and iterate it as you learn from the market feedback. The BMC can be used for any type of business or product, regardless of whether it generates revenue or not, as long as it delivers value to the customers.

Business Model Canvas - Wikipedia: This article from Wikipedia explains the concept and history of the BMC, and describes its nine building blocks and their relationships.

Business Model Canvas: Explained with Examples | Creately: This article from Creately provides a detailed guide on how to create a BMC, with examples and templates for different types of businesses and products.

Business Model Canvas -- Download the Official Template: This website from Strategyzer offers the official template and online courses, books, and webinars to master the BMC.

Designing a data strategy is the process of defining the vision, goals, principles, and governance of data and analytics in an organization. A data strategy should align with the business strategy and enable the delivery of value from data and AI initiatives. Designing a data strategy requires collaboration between Product Managers and their Customers, as they are the ones who understand the needs, problems, and opportunities of the market and the users. Product Managers and Customers should work together to identify the data sources, use cases, metrics, and feedback loops that will inform the data strategy and drive the data-driven decision making.

Design your data strategy in six steps | IBM

How to build and deliver an effective data strategy: part 1 - Microsoft UK Blog

Crafting Your Data Strategy - data.org

Designing Data Strategies - Development Gateway: An IREX Venture

According to the SAFe Agile Product Management APM (6.0) documents and learning resources, innovation context type refers to the level of uncertainty and risk associated with the innovation. There are four types of innovation context: portfolio, solution, feature, and business agility. Solution context type is the most complex and uncertain type, as it involves creating integrated, end-to-end products and service offerings that solve complex market problems across trains. Solution context type requires a high degree of collaboration and alignment among multiple teams and stakeholders, as well as frequent experimentation and validation of assumptions.

SAFe Innovation Framework for Lean Enterprises: What to Know

Solution Context - Scaled Agile Framework

Gemba is a Japanese term that means ''the real place'' or ''the place where value is created''. In the context of the CDP, Gemba refers to the practice of going to the source of customer needs and feedback, and observing and learning from them. Gemba is an integral part of Continuous Exploration (CE), which is the first aspect of the CDP that drives innovation and fosters alignment on what should be built. CE involves applying Customer Centricity and Design Thinking to understand and create alignment on new development opportunities, and validating them with customers using hypothesis-driven experiments.

Continuous Exploration: This article from the Scaled Agile Framework explains the purpose, process, and benefits of CE, and how it uses Gemba, design thinking, and lean startup methods to explore the market and customer needs, and define a vision, roadmap, and set of features for a solution.

Gemba Walk: How to Drive Continuous Improvement in Manufacturing with Connected Work: This article from Parsable describes how Gemba walks can help manufacturing leaders and teams identify and solve problems, improve processes, and increase customer value. It also provides some tips and best practices for conducting effective Gemba walks using connected worker technology.