In 2022, here are 9 of the best tools for survey analysis.

Surveys are an excellent approach to obtain feedback from your target audience, whether you want to gauge customer happiness, staff loyalty, or send any kind of questionnaire.

When properly examined, your surveys will yield insights that you can utilise to make key business decisions.

Survey analysis is an important aspect of the survey process; without it, your survey data will be useless. This means that having the correct survey analysis tools is critical.

On the market, there are a variety of instruments, each of which offers something slightly different. We'll look over nine of the top tools to help you discover the one that's right for you.

Tools for Survey Analysis

To assist you understand more about the various tools available, we've broken them down into the following categories:

• Who is it most suitable for?
• The advantages
• The cost

1. MonkeyLearn is a learning platform for monkeys.

MonkeyLearn is a text analysis software that uses AI and machine learning to sort through massive amounts of text data and provide you with insights in seconds. This eliminates the need to manually examine text responses, saving you a significant amount of time.

MonkeyLearn also has a variety of templates for various data kinds (like reviews and surveys).

The NPS analysis template, for example, is pre-configured to contain the three analysis methodologies shown below to organise your open-ended survey responses: extraction of keywords, topic analysis, and sentiment analysis

Finally, MonkeyLearn's templates allow you to visualise data by filtering by sentiment, subject, keyword, and other factors.

Ideal for:

Those who wish to rapidly and efficiently acquire meaningful insights from their data.

Pros:

• MonkeyLearn features a no-code interface, so you don't need to be a data specialist to utilise it.
• It's simple to use.
• It has a custom API that allows it to simply interface with survey tools.

Cons:

• This is not the solution for you if you want to read through every survey result and manually code your themes, as MonkeyLearn automates these procedures.

Price:

Here's where you can learn more about pricing and plans.

2. Microsoft Excel

Excel is a well-known spreadsheet programme that comes in helpful for analysing surveys. Perhaps you've already used it to employ filters, pivot tables, and built-in algorithms to examine quantitative data from your surveys.

But did you know that REGEX formulae may also be used to accomplish some basic text mining?

For example, if you wanted to find out how customers talk about customer service in open-ended responses, you could use the formula =REGEXMATCH(C2, "keyword") to look for words like "service":

Ideal for:

Those who wish to do quantitative analysis and those who only have a little amount of qualitative data to analyse.

Pros:

• Excel and the Microsoft suite are most likely already familiar to you. It's possible that you already have it installed on your computer.
• It's also simple to interface with survey software such as SurveyMonkey and Typeform.

Cons:

• Excel is primarily a spreadsheet programme, not an analysis programme. As a result, it has restricted analytical capabilities.
• While formulas can be used to automate, they only allow for basic coding. You can, for example, code for specific keywords found in your data, but you won't be able to code for themes like a machine learning model can. As a result, you risk missing out on a lot of useful information.
• It's also true that the more information you put at it, the slower it gets.

Price:

Excel is available as a standalone software or as part of the Microsoft 365 bundle. A free (though limited) internet version is also available. More information is available here.

3. Crunch.io is a website that allows you to crunch data.

Crunch.oi is a self-service survey data analysis application that crunches statistics and visualises data in simple interactive dashboards. It is a subsidiary of YouGov, a market research and survey firm. Integrations with SurveyMonkey, Qualtrics, Confirmit, and Decipher are available.

It's simple to use for beginners, but it also allows experienced data analysts to use R and Python to perform more complicated statistical research.

Ideal for:

Market researchers who require sophisticated survey analysis.

Pros:

• The drag-and-drop dashboard feature makes it easy to design dashboards without having to know how to code.
• Your visuals may be simply exported to Powerpoint.
• It offers a search option that allows you to find research fast using keywords.
• Crosstabs are also simple to design and view.

Cons:

• While it is experimenting with machine learning approaches, statistical analysis is its primary focus. A programme like MonkeyLearn or Thematic would be a better fit if you're searching for a solution that completely harnesses the power of AI.

Price:

Crunch.io can be contacted here for a free demo or pricing information.

4.NVIVO 

NVIVO is a qualitative and quantitative data analysis programme that allows you to evaluate data from a variety of sources. It can be used for both human and automatic analysis.

Although it is mostly a desktop application, they do have an NVivo Collaboration Cloud feature that makes it easy to share insights across teams.

Ideal for:

Manual analysis is desired by academics and researchers.

Pros:

• A user-friendly interface with a Microsoft-like feel to it.
• It's simple to integrate with apps like SurveyMonkey.
• Thanks to various autocode capabilities that use sentiment analysis, new versions have made it easier to work with larger datasets.

Cons:

While it provides some automation, it falls behind tools such as MonkeyLearn and requires manual analysis. This would be impossible to do without hiring their research experts or adding more team members if you have a lot of data.

• It has an antiquated feel to it, and individuals who are used to more recent software may find it clumsy and incomprehensible.
• It's not a cloud-based system.

Price:

Academics, non-academics, students, individuals, and organisations can all benefit from NVIVO's various packages. More information is available here.

5.MarketSight

MarketSight is a cloud-based software that specialises in survey data analysis. It also includes data visualisation, crosstabs, advanced analytics, and other features.

Ideal for:

Researchers who have worked with data and statistics before.

Pros:

• It is capable of effectively handling huge datasets.
• It works with most survey programmes and can read data from documents such as Excel spreadsheets.
• It has APIs that allow you to effortlessly incorporate insights into your systems and products, as well as automate specific operations.

Cons:

Some users have complained that the user interface is not very intuitive, and that people unfamiliar with qualitative research may encounter a steep learning curve.

• It also doesn't make as much use of AI as other learning programmes like MonkeyLearn and Thematic.
• To be able to modify your reports, you must pay a higher fee.

Pricing:

MarketSight provides a variety of packages in which you can pay more for additional features. More information can be found here

6.SPSS (Statistical Package for Social Sciences)

SPSS Statistics is a statistical software platform that allows you to prepare, analyse, and report on your data. It also performs predictive analysis to predict what will happen next.

It was designed with social scientists in mind, and it remains popular in those fields. Governments, psychologists, and health professionals are the most common users.

Ideal for:

Researchers who work in the social sciences.

Pros:

• Because it's simple to get started and doesn't involve programming, even non-statisticians may use it to perform complex statistical models.
• It has a syntax editor that simplifies statistical analysis. It also stores your analysis processes so that you can repeat them on other surveys in the future.

Cons:

• It has been reported by several clients that it issues with very huge data collections.
• It can be slow, according to users.
• The reports you can build in SPSS don't have a lot of customization options.
• The visualisations provided by SPSS are also rather basic. You won't find the fancy dashboards that applications like Displayr or MonkeyLearn can provide.

Pricing:

They provide a free trial, then subscriptions and permanent payment plans, as well as an academic edition. More information can be found here.

7.KnowledgeHound 

KnowledgeHound is a data analysis programme that integrates survey data into a proprietary database, then adds a search engine and a data visualisation tool.

After that, you may use your new database to search for the answers to your business questions. These results can also be shown in a visualisation.

KnowledgeHound is a multi-project analysis tool that interfaces with popular survey programmes like SurveyMonkey. Customers have referred to them as the "Google of market research," according to them.

Ideal for:

Market researchers who want to examine the results of their organised surveys.

Pros:

• The user interface is straightforward, and the action needed of the user is straightforward. This means that even those who aren't data professionals can utilise it.
• It compiles all of your information into a single database, which you can then search.
• Their most recent addition is a text analytics feature that assigns a sentiment score to open-ended survey responses.
• They have a website where you may get a free trial.

Cons:

• It can't search unstructured data; only structured data in data files may be searched.
• Although no pricing information is available, they have recently launched a new trial site.

8.Displayr 

Displayr is an online application for analysing and reporting survey results. It has dashboards and visualisations. It includes a variety of analytic tools, as well as some machine learning text analysis capabilities.

Ideal for:

Dashboards that are attractive to the eye are sought by market researchers.

Pros:

• The dashboards are drag and drop, making them simple to create.
• Their dashboards are beautifully designed.
• They have a tool for sentiment analysis.

Cons:

It includes several automation-related tools. They also propose solutions that reduce the amount of manual analysis required, but you will still need to do some manual analysis and table and chart organisation.

Displayr is available for free as well as a premium professional and enterprise edition. More information is available here.

9.Theme 

Thematic is a feedback analysis tool that use artificial intelligence (AI), primarily natural language processing, to assist you in sorting through your information. It also provides dashboarding and visualisation features. It works with survey software such as SurveyMonkey and Typeform.

Companies who want to automate their client feedback analysis should use this software. "Made for teams in data-driven companies," as they describe it.

Pros:

• It is AI-driven, making it faster and more efficient.
• They are open to customer comments as well. Customers had previously expressed dissatisfaction with the user interface. Since then, the theme has improved.

Cons:

• The setup step, according to some consumers, can take a long time. You must train the machine to detect your terms, which some users have experienced taking significantly longer than intended.
• It's also a lot more expensive than alternatives like MonkeyLearn, which provide a similar service to Thematic.
• They only offer a Zendesk integration. You'll have to do it yourself if you want to connect to sources like Salesforce.
• It is not compatible with data warehouses.

Pricing:

• There are three price plans available: one for projects, one for teams, and one for enterprises. More information on prices can be found here.
• That's all there is to it!
• The survey analysis tool you choose will be determined by your needs, industry, amount of data experience, and desired working style.

MonkeyLearn, on the other hand, is the perfect option if you're searching for a no-code solution that suits both data specialists and data beginners and combines robust automation with outstanding visuals.

Sign up now or try a free demo to see how MonkeyLearn can help you turn survey data into insights that benefit both your company and your customers.