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What are the best strategies for making experimental research relevant to real-world problems?

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Experimental research is a powerful method to test causal hypotheses and discover new phenomena. However, it can also be challenging to translate the findings from controlled settings to complex and dynamic real-world problems. How can you design and conduct experiments that are relevant, rigorous, and impactful? Here are some strategies to help you bridge the gap between theory and practice.

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Elina Teboul

Author of Feminine Intelligence | Keynote Speaker | Conscious Leadership Expert | Driving Business Success with…
Prof Jack Wong

Blair Singer Training Academy Senior Leader | Business Transformer ?? | Sales & Team Builder ?? | International Tax…
Michael Streit

Not your regular expert but leadership & AI enthusiast | World Traveler | Sparring partner in crime ??

1 Identify the problem

Before you design your experiment, you need to clearly define the problem you want to solve or the question you want to answer. What are the main challenges, needs, or gaps that you or your stakeholders face? How does your research topic relate to them? What are the existing theories, evidence, or solutions that you can build on or challenge? By identifying the problem, you can narrow down your research scope, align your objectives with your audience, and justify the importance of your experiment.

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Prof Jack Wong

Blair Singer Training Academy Senior Leader | Business Transformer ?? | Sales & Team Builder ?? | International Tax Strategist ?? | Master TetraMap Facilitator ?? ?? ?? ?? | Helping Founders Win the Inner & Outer Game ??
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In experimental research, identifying problems is crucial. To ensure relevance to real-world issues, continuous engagement with stakeholders is necessary. This involves ongoing dialogue, problem identification, and feedback loops. Engaging with practitioners, policy-makers, and community members provides valuable insights that guide research and ensure applicability. Consider practical implications and implementation from the outset to enhance relevance and impact. By focusing on stakeholder engagement and practicality, research can lead to beneficial changes in the field or community it serves.

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Michael Streit

Not your regular expert but leadership & AI enthusiast | World Traveler | Sparring partner in crime ??
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I love experiments! They bring such an innovative spirit into boring strategy or academic roles. I think especially by bridging the gap between theoretical pondering/strategizing and having a scalable industrialized solution in the market. So everything starts with THE problem aka obstacle aka challenge. Call it whatever you want. There is something you would like to implement, change or improve. 1) Define your stakeholder/user/customer (audience). 2) Talk to them and understand their real-world need. 3) Collect data to underline / extend previous need. 4) Draft a problem statement. *try use story framework: As a < type of user >, I want < some goal > so that < some reason > 5) Double check problem statement with audience. Go.

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2 Collaborate with practitioners

One of the best ways to make your experiment relevant to real-world problems is to collaborate with practitioners who have direct experience, access, or influence in the domain you are studying. Practitioners can provide valuable insights, feedback, and resources for your experiment. They can help you define the problem, design the intervention, recruit the participants, implement the procedure, and interpret the results. Moreover, they can help you disseminate and apply your findings to their context and network, increasing the impact and reach of your research.

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Elina Teboul

Author of Feminine Intelligence | Keynote Speaker | Conscious Leadership Expert | Driving Business Success with Purpose and Social Impact
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Don't view practitioners as mere collaborators for a single project. Build long-term partnerships. This sustained collaboration allows for iterative, adaptive research that continually addresses evolving real-world challenges.

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3 Use mixed methods

While experimental research is mainly quantitative, it can benefit from incorporating qualitative methods as well. Qualitative methods can help you explore the context, perspectives, and mechanisms that influence your experimental outcomes. They can also help you generate new hypotheses, refine your measures, and explain your findings. For example, you can use interviews, observations, or focus groups to complement your surveys, tests, or behavioral data. By using mixed methods, you can enrich your data, strengthen your validity, and enhance your understanding of your experiment.

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Keith B.

- securing the art of the possible
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To use mixed methods research, you need to have a clear rationale for integrating both types of data in your study. You also need to choose a mixed methods design that suits your research question and purpose. There are different types of mixed methods designs, such as: Convergent parallel design: collect and analyse both quantitative and qualitative data separately, and then compare and integrate the results at the end. Embedded design: collect and analyse one type of data (either quantitative or qualitative) as the primary data source, and then collect and analyse the other type of data as a secondary data source to support or complement the primary data.

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4 Adapt to the context

Another strategy to make your experiment relevant to real-world problems is to adapt to the context where you conduct your research. The context can affect the feasibility, reliability, and generalizability of your experiment. Therefore, you need to consider the characteristics, constraints, and opportunities of the setting, population, and culture you are studying. You also need to be flexible and responsive to any changes or challenges that may arise during your experiment. By adapting to the context, you can increase the realism, relevance, and applicability of your experiment.

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5 Evaluate the impact

Finally, you need to evaluate the impact of your experiment on the real-world problem you are addressing. How does your experiment contribute to the knowledge, practice, or policy in your field? How does it affect the behavior, attitudes, or outcomes of your participants or stakeholders? How does it compare to other interventions or solutions? To evaluate the impact, you can use various methods, such as follow-up surveys, interviews, or analyses, to measure the short-term and long-term effects of your experiment. By evaluating the impact, you can demonstrate the value, significance, and implications of your research.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the best strategies for making experimental research relevant to real-world problems?

1

2

3

4

5

6

1 Identify the problem

2 Collaborate with practitioners

3 Use mixed methods

4 Adapt to the context

5 Evaluate the impact

6 Here’s what else to consider

Thought Leadership

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What are the best strategies for making experimental research relevant to real-world problems?

1

2

3

4

5

6

1 Identify the problem

2 Collaborate with practitioners

3 Use mixed methods

4 Adapt to the context

5 Evaluate the impact

6 Here’s what else to consider

Thought Leadership

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