Collecting user data for new products

What are the biggest risks to a product organization without knowing the needs of its users?

It can sell a product that we don’t use and from there sales will go on for a while. With the development of communications and social media, it is likely that the first consumers who bought this product will write negative reviews, which will lead to subsequent consumers ebb.

The above would have a bad effect on both the particular product and the brand it represents (in case there is a difference and product X is part of the brand Y, which makes other products).
After all, the above things lead to a loss of money, which can also lead to a loss of business.

What would you recommend to your teams to find the right users that you can research their needs for?

User groups and their corresponding parameters must be defined. For example, group 1 are men from 18 to 40 years of age who have secondary education and are in New York City, use similar products. Group 2 are men from 23 to 40 years of age with higher education and are located in the United States, use similar products, etc.

We will use the product research practice recommendations of the BVOP methodology.

How would you collect quality and secure consumer information?

Qualitative information can be collected from people who use the product or similar to it and take specific responses. What they like, what they don’t like, what they don’t care about. Do they have suggestions for things that aren’t affected but want to see?
Prepare a list of questions that are asked to everyone we interview. This will still result in some systematicity.

How would you avoid influencing your users when researching their needs?

Asking free-answer questions instead of asking multiple-choice or non-test questions of the type that can only be answered yes/no. In these cases, we put the thinking into a rut, and an answer may come. In fact, this is important when collecting quality information – interviewing specific real users. However, when we want to interview a large group, such as 1000 people over the internet, then it would be good to have specific answers and make statistics from them. In quality interviewing (only a few people), we need to be aware of the specific people we ask, which profiles of our product fit in, so we can still determine their opinions on what percentage of the consumer mass they influence.