Once you have collected the data, you need to analyze it. Check whether it matches your hypothesis. It is important to understand that validation is not a confirmation of your expectations, but a reality check.
5. Correction of the hypothesis
After you have analyzed the results, you may need to adjust the hypothesis or change the approach to solving the problem. For example, if validation showed that your product is not in demand, this may be a signal that the concept needs to be refined or changed.
validation
Advantages and Disadvantages of Validation
Advantages
Risk reduction:
Clarifying customer needs: The data you buy bulk sms france receive allows you to better understand what your target audience needs.
Resource Optimization: Validation saves time and money by focusing only on those projects that truly have potential.
Flaws
Time consuming: Validation can take time and the results may not always be clear.
Results are not always accurate: Validation is based on data collected under specific conditions and may not always accurately reflect the real market situation.
validation
Conclusion
Validation helps avoid investing in ideas that don't work
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