Data in Plain English
Professional Data Analysis for Dissertations
We’re here to help you tell stories with your data.
How We Work
You send us the data and the question. We handle the analysis and the visualizations, checking in along the way so nothing surprises you. You get back something you can read, use, and explain, whether you are facing a dissertation committee or a boardroom, without the jargon.
Our Mission
How It Works
Our process from start to finish
Step 1: You schedule a consultation.
Here you share the details of your project and we work out a plan together.
Step 3: The Analysis Begins
Here our team analyzes your data and keeps you updated on their progress.
Step 2: You share your files.
Here you send over any relevant files to our team and they begin working on the analysis.
Here you meet with our team for a walk-through of the results, then deliver your completed files with a plain-English explanation of what was done.
Step 4: Final Stretch
Commercial
Private data analysis for commercial projects. Your data stays confidential, and we are glad to work under an NDA. Whether you need a one-time analysis or ongoing support, we help you see what your numbers are telling you and put it in a form your team or your clients can actually use.
Academic
Data analysis and visualization for graduate students working through their dissertations. We help you interpret, analyze, and present your data so you can spend your time on the thinking and writing that only you can do. To be clear about where the lines are: the research stays yours. We support your analysis and your visualizations. We do not write your thesis or stand in for your own work.
Analysis
We work across formats and tools: data visualization, reports, images, audio, and video. Day to day that means Excel, R Studio, Tableau, and Final Cut Pro, plus whatever else a project needs to get the point across clearly.
Frequently Asked Questions
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No. We do not and will not use Al at any point. We find that such tools have difficulty with keeping the original data intact and explaining their work.
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Yes. Getting expert help with data analysis is a normal, accepted part of dissertation work. We stay firmly within academic integrity standards: we help you analyze and understand your own data, but the research, writing, and ideas stay yours. Policies vary by program, so if you're unsure, check with your committee, we're always happy to be disclosed to your advisor.
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Yes, and that's exactly what we're here for. We explain every step in plain English. What we did, why, and what it means, so you can walk your committee through the analysis and field their questions with confidence. You should never have to defend work you don't understand, and with us you won't have to.
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Free consultation call (30 min): We talk through your project, your research questions, and how you'd like to communicate.
You share your data: Send over your dataset and any relevant files.
Analysis: with check-ins: We analyze your data and stay in touch throughout, so you're never in the dark.
Final walkthrough: We meet to walk you through the results, then deliver your completed files with a plain-English explanation of what was done.
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Our initial analysis usually takes about two weeks, with more complex projects running longer. We'll set a clear timeline at the start. We can often handle tight deadlines too, rush projects carry a higher upfront rate for priority scheduling. The earlier you reach out, the more we can do.
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We work with both qualitative and quantitative data. We're open to working within most disciplines, since the underlying analysis skills, cleaning, modeling, visualizing, and explaining, transfer across fields.
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Yes! Please be aware that our data analysts only speak English, but we are open to non-native English speakers. Non-native speakers may find more value in the Narration Support package to make sure that their technical academic writing reads correctly to a native speaker.
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Exactly what you'll receive depends on your project, and we'll confirm the specifics with you upfront. Everything comes cleaned, properly formatted, and delivered in the format you need. For a typical data analysis and visualization project, that means your cleaned dataset, the completed analysis explained in plain English, and your finished visualizations, all ready to drop straight into your dissertation.
