The Wanted? Next Tool is a comprehensive validation suite that enables innovation teams to conclusively confirm market demand for their proposed solutions before investing further resources. By systematically guiding teams through critical exercises, it helps uncover and pressure-test key assumptions, articulate resonant customer pain points, and ultimately ensure genuine desirability before proceeding with development.

Worth it? is a powerful software innovation tool designed for evaluating the comprehensive worth of proposed Innovation Opportunities. Tailored to assess investments across various dimensions such as economic, personal, and reputational, this tool prioritizes forms of capital crucial to the success of your innovation. With a structured approach, "Worth it?" helps you identify and rank assumptions, providing a clear understanding of the multifaceted worth of your project.

The Pain Hypo Generation tool is a comprehensive set of exercises designed to help teams deeply understand the pain points and challenges faced by their constituents or target customers. By systematically exploring the root causes, consequences, and emotional impacts of these problems, teams can develop well-substantiated pain hypotheses to guide their solutions and interventions. The tool takes a structured approach, guiding participants through a series of drills that build upon each other, ultimately culminating in the formulation of compelling pain hypotheses tailored to specific constituent groups.

The AI Focus Group Next Tool is an innovative market research solution that leverages advanced AI technology to simulate diverse focus group discussions. By inputting a hypothesis, target audience, and optional location, users can instantly generate five AI personas with detailed profiles, including names, occupations, and psychological traits. These personas engage in a simulated conversation, providing both qualitative feedback in the form of "I like... I wish... I wonder" statements and quantitative "wanted scores" to evaluate the given hypothesis or idea. This tool offers rapid, scalable, and customizable research capabilities, delivering insights in minutes rather than weeks. It produces a full conversation transcript and a JSON summary of key findings, enabling quick analysis and decision-making. While not intended to replace traditional human-based research entirely, the AI Focus Group serves as a powerful complement to existing methods, allowing for rapid hypothesis testing, idea validation, and the exploration of diverse perspectives across various demographics and markets.

The Super Seven (S7) is a powerful decision-making framework designed to evaluate and guide innovation opportunities within organizations. At its core, S7 provides a structured approach to assessing new ideas through seven critical criteria: Strategic Fit, Portfolio Fit, Wanted, Doable, Worth It, Acceptable Affordable Loss, and Real Option Value. By systematically addressing these key aspects, S7 enables teams to make informed, data-driven decisions about whether to advance, pause, or exit innovation initiatives. What sets S7 apart is its seamless integration with the Next Cycle of discovery-driven development, ensuring that all stakeholders - from executives to innovators - share a common understanding of both the evaluation process and the criteria for progression. This alignment not only streamlines decision-making but also enhances portfolio management, reduces capital leakage, and ultimately drives meaningful value creation. By employing S7, organizations can confidently navigate the complex landscape of innovation, balancing strategic goals with practical considerations to fuel sustainable growth and competitive advantage.

Go through a series of drills to see if your innovation opportunity is doable, assessing the feasibility of a solution within your organization and market, considering various aspects like technical capability, political alignment, and more. Get a clear understanding of the feasibility of the proposed solution. Identify presumptions, assumptions, and knowledge that underline the solution's doability. Actions to validate or challenge these factors to enhance confidence in the solution's execution.