How can you use a product vision canvas to validate assumptions?

Start by listing all the assumptions underlying your product vision. These could be assumptions about the target audience, their needs, the problem you're solving, the solution you're proposing, the market dynamics, etc. Ensure that assumptions are clearly articulated and documented on the product vision canvas.

Voice-of-Customer (VoC) Programs To validate our assumptions around customer needs, we implemented a Voice-of-Customer program. Rather than assuming, we actively reached out, conducting user interviews and surveys. It was like gathering firsthand accounts from detectives' sources, strengthening the foundation of our product vision. CROSS-Functional Effort We held "Product Visioning" sessions with diverse teams - developers, designers, marketers, and frankly, anyone who interacted with our product in some way. These sessions, akin to a film crew brainstorming scenes, offered fresh perspectives helping us challenge our own assumptions.

To validate assumptions with a product vision canvas, start by listing your key assumptions about customers, needs, solutions, and the market. 🎯 Prioritize these based on their importance and uncertainty. For instance, assume your target market size, problem urgency, solution feasibility, and value proposition clarity. This helps in focusing your validation efforts on critical aspects first. 📊

Once assumptions are identified, design experiments that aim to validate or invalidate these assumptions. Choose appropriate methodologies for your experiments. These could include user interviews, surveys, usability tests, A/B testing, prototyping, market research, etc. Define specific metrics or criteria for success for each experiment. This could include metrics related to user satisfaction, engagement, conversion rates, market viability, etc.

Design experiments to test each assumption. Use methods like surveys, interviews, landing pages, prototypes, or MVPs. 🎨 For example, test market size with surveys, problem urgency with interviews, solution feasibility with prototypes, and value proposition with landing pages. Define success criteria for each experiment to know when an assumption is validated. 🚀

Once we identified our assumptions, then prioritise the assumptions based on their importance and the level of uncertainty. Focus on the high-priority and high-uncertainty assumptions first. Convert your assumptions into testable hypotheses. A hypothesis should be a clear, concise statement that you can test through experiments. Choose appropriate methods to test assumptions for example customer interviews, surveys, landing page tests, MVP, A/B testing, usability testing,Concierge or Wizard of Oz Test etc.

Execute the experiments according to the designed plan. Ensure that the experiments are conducted rigorously and with proper controls in place. Gather data and insights from the experiments. Use various data collection methods such as interviews, surveys, analytics tools, etc., to gather both quantitative and qualitative data.

Execute the designed experiments and gather data. 📈 Track responses, interest levels, feedback quality, conversion rates, or retention rates. Use this data to evaluate if your assumptions hold true. This step ensures you have concrete evidence to support your product vision. 🛠️

Analyze the data collected from the experiments to determine whether your assumptions are validated or invalidated. If assumptions are validated, proceed with confidence in your product vision. If assumptions are invalidated, consider why they failed and what you've learned. Iterate on your product vision canvas based on the insights gained from the experiments. This could involve revising assumptions, updating the value proposition, adjusting target audience segments, refining features, etc. Repeat the process iteratively, continuously validating and refining assumptions as you progress in developing your product.

Analyze the experiment results to validate or invalidate assumptions. 🧠 Update the product vision canvas with new insights, refine elements, or pivot if necessary. For example, adjust your target market, redefine the problem, improve the solution, or modify the value proposition based on findings. This iterative process ensures your product vision remains aligned with real market needs. 🔄