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How many hours should agencies, freelancers or freelancers invest in research per month or year?

02/05/2024 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

The number of hours that agencies, freelancers or freelancers should invest in research depends on various factors, including the type of services, the industry, the specific projects and the need for up-to-date information. Here are some considerations:

1. Project-specific requirements:

The time required for research can depend heavily on the nature of the project. Projects that require extensive data analysis, industry studies or in-depth background research might require more hours than less research-intensive projects.

2. Client requirements:

The client's requirements play a crucial role. Some clients place a high value on in-depth research results, while other projects may require less intensive research.

3. Industry specialization:

In certain industries or service areas, such as consulting or marketing, in-depth research is often crucial. The need to keep up with the latest trends, market data and developments can influence the research effort.

4. Changes in the market environment:

When the market environment changes rapidly or new developments occur, this may require additional research to ensure that the services and recommendations offered are up to date.

5. Project budgets and timescales:

The available budgets and timeframes for projects also influence the scope of the research. In some cases, clients may have limited budgets, which requires a focus on efficient yet high-quality research.

In terms of specific hours per month or year, there are no hard and fast rules as this depends heavily on individual circumstances and project requirements. For example, some agencies or freelancers might budget 10 to 20 hours per week for research, while others may need less or more time.

Efficiency in research is crucial to ensure quality results. Advanced research techniques, the use of databases and focusing on relevant sources of information can help to optimize the research effort.

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