Scientific Research Data Analysis Pain Points Survey
Scientific research is advancing rapidly, but poor data analysis workflows lead to unreliable results, lost time, and fewer publications and grants. As omics data and AI-driven methods grow more complex, researchers struggle with data cleaning, management, and model explainability, slowing down discoveries.

We’re building a secure AI-powered platform, with human expert oversight, that automates tedious data analysis tasks, ensuring faster, more reliable, and reproducible research. Your insights will help us shape a solution that truly meets researchers' needs.

Take this short survey to share your challenges! When answering, please think about your past or current experience that can be most relevant for the questions.
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Do or did you perform data analysis in the biomedical field? *

How challenging do you find data analysis in your research workflow? 

 *
Not challenging at all
Extremely challenging

What are the biggest challenges you face in data analysis?

How often do you struggle with the following data-related issues? *
1 (Never)
2
3
4
5 (Very frequently)
N/A
Data cleaning & preprocessing
Exploratory data analysis & visualization
Statistical analysis & hypothesis testing
Predictive analysis with AI/ML (explainability, validation, etc.)
Which tools do you use to perform data analysis? *
Eg. Excel, R, Python, Matlab, GraphPad Prism, etc.
Are there specific data analysis tools or methods you struggle with?
What are the current tools/methods you are using? What are the struggles with those?

How satisfied are you with your current data analysis solutions (e.g., existing tools, manual workflows)?

 *
Very dissatisfied
Very satisfied
What do you like/dislike about your current approach?
If a platform could automate and improve your data analysis, how likely would you be to use it? *
Not likely at all
Extremely likely
What type of data do you usually analyse? *
What is the biggest frustration you have when analysing scientific data?
How familiar are you with leveraging AI in your daily work? *
Not at all
Very much
Do you have further comments?
What is your current role? *
For which institute/company do you currently work for? *
Your email address
💡 Curious to learn more? 
If you're interested, check our website and feel free to provide your email address! We’d be happy to provide more details on the project and organize a quick video call to learn more about how we can help you with your research projects.
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