🎯 The Short Answer: If you’re working with a large volume of data (50+ interviews or 200+ documents), dedicated software like NVivo or Dedoose is (potentially) worth the investment. For smaller projects, a simple spreadsheet approach works just fine.
One of the most common questions we get from postgraduate researchers is whether they should invest (time and money) in qualitative analysis software. The decision often feels overwhelming, especially when you’re juggling so many other aspects of your research. The truth is, there’s no one-size-fits-all answer. Whether you need specialized software depends on the size and scope of your project, plus your future plans as a researcher.
🎯 The First Thing To Consider
The first thing to consider is how much qualitative data you’re actually working with.
If you’re conducting five to ten interviews that are 30 minutes long each, you probably don’t need fancy software. A spreadsheet will do the job just fine. But if you’re analyzing 50 or more hour-long interviews, or you’ve collected over 200 newspaper articles as part of your corpus, that’s when dedicated qualitative analysis software becomes genuinely useful. The software helps you manage, organize, and code large amounts of data in a way that would be tedious (and error-prone) to do manually in a spreadsheet.
Think of it this way: software shines when you’re dealing with complexity and volume. It keeps your codes organized, prevents you from accidentally duplicating work, and generates frequency tables automatically. These features save you time when you’re drowning in data.
📚 Think About Your Future Career
Another key factor is whether qualitative research will be part of your life after your dissertation or thesis. If you’re planning to continue doing qualitative research in your career, investing time in learning software makes sense. You’ll use those skills again and again, so the learning curve is worth it. On the other hand, if this is a one-off project, learning a new software platform just for this study might not be the best use of your time and money.
We often see our coaching clients struggle with this exact decision. Many of them realize halfway through that they’re spending more time learning the software than actually analyzing their data. That’s a sign the software was never the right fit for their project in the first place.
✏️ The Manual Route
If you decide against specialized software, don’t worry. Doing qualitative analysis in a spreadsheet or Word doc is completely legitimate and often underrated. The process is straightforward: you upload your interview transcripts or source documents into a spreadsheet, read through them carefully, highlight key words and phrases, and then create codes for those segments. You organize everything in columns, making it easy to track which codes appear where and how often.
The beauty of this approach is its simplicity. You don’t need to learn new software, you don’t need to pay a subscription, and you can work at your own pace. We have a detailed video (below) that walks you through exactly how to do this, and many of our clients have had great success with it. If your corpus is manageable and you don’t need all the bells and whistles, spreadsheets are a perfectly valid choice.
💻 The Software Route
If you do decide that dedicated software makes sense for your project, the two most popular options are NVivo and Dedoose. Both platforms work in similar ways, so your choice between them often comes down to personal preference, pricing, and specific features that appeal to you. The basic workflow is the same: you upload your transcripts, documents, or other qualitative sources into the software, then read through and code them by highlighting text and assigning codes.
What makes software valuable is how it handles the heavy lifting. It keeps all your codes organized in one place, allows you to apply the same code to multiple segments without manually tracking where you’ve used it, and automatically generates frequency tables showing how often each code appears. For large projects, this streamlines what would otherwise be a very manual, repetitive process in a spreadsheet.
⚖️ How To Make Your Decision
Here’s a simple way to decide. Ask yourself these three questions:
First, how much data do you actually have? If it’s fewer than 50 interviews or a small number of documents, a spreadsheet is probably enough.
Second, will you be doing qualitative research after this project? If yes, investing in software makes sense for your long-term development as a researcher.
Third, do you have the budget (money) and time to learn new software? If you’re already stretched thin, the learning curve might not be worth it.
The key insight is this: software isn’t better because it’s more sophisticated. It’s better only if it solves a real problem in your research workflow. If you don’t have that problem yet, stick with what you know and keep things simple.
📌 Key Takeaways
- Use software for large projects (50+ interviews or 200+ documents); spreadsheets work for smaller studies.
- Consider whether qualitative research fits your future career plans before investing in software.
- Spreadsheets are simple, free, and effective for manageable data volumes.
- NVivo and Dedoose are both solid options if you need dedicated qualitative analysis software.
- Match your tools to your actual needs, not the other way around.
P.S. Join our next Live Q&A Session to get your questions answered, for free!
