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1. Obtaining Accurate Data

Problem: Respondents may provide biased answers or incomplete data.

Why it matters: Wrong data leads to bad decisions, like targeting the wrong people or launching a product that nobody wants.

⚠️2. Identifying the Right Audience

Problem: Obtaining access to your true target buyers (especially in B2B sectors) can be a challenge.

Example: A person who manufactures industrial parts will have a difficult time finding the right procurement heads or distributors to survey, unlike someone polling general consumers.

⚠️3. internet and Time Constraints

Problem: Conducting quality research demands time and cost. Professionals are needed to complete surveys through people falling into time or cost restraints - survey teams, data analysing teams etc.

Small businesses often forgo this process because of budgeting limitations, which leads to poorer decisions down the line which disrupt long-term strategy.

⚠️4. Data Overload

Problem: While there is more data available to researchers than ever before, the clarity in data may be lacking.

Problem Example: You might collect hundreds of thousands of data points, and have no clear indication of what is actually going to help you make a great decision.

⚠️5. Adapting to Market Changes

Problem: The market moves fast, and can change in an instant - buyer behavior, trends, and competitors.

Why it matters: Your research may not be relevant before you finish working on it.

⚠️6. Low Response Rates

Problem: As indicated, sometimes people do not respond to digital surveys, or when you perform interviews with B2B consumers maybe they don’t take this serious enough.

Impact: Sample is inaccurate due to fast dropouts resulting in untrustworthy research.

⚠️7. Lack of Internal Expertise

Problem: Many small businesses lack trained researchers or

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Gayatri

Lvl 4
1w ago

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