10 Super-Effective Data Collection Methods to Know About

By Riaz Lalehzari | September 2, 2020

We live in an era governed by data. Every business organization is dependent on insightful stories conveyed by data to take decisions that are imperative for organizational growth. Well, if that didn’t sink in, here are a few questions for you:

Do you want to improve customer experience? 

Ever wondered why your competitors are performing better?

Want to introduce a new feature in your product?

If the answer is a yes to any of the above, then data collection is the path. 

Every organisation can be made more successful and more efficient by making use of insights acquired through data collection

When you have the right data in hand and the right tools to process and analyse that data, you can turn that data into information, and make more informed and educated decisions based on that information. The data collected however should be relevant, precise, and taken in context, or else it can be misleading, which can have quite a negative impact on a business. For this reason it is prudent to treat your conclusions as hypotheses rather than statements of fact, and to take action in incremental steps rather than making sweeping changes or decisions in one go.

In this article we will be discussing the 10 best data collection methods that can help you obtain the right data effectively. But before delving into data collection methods, let's first briefly cover the basics of data collection.

What is Data Collection?

Data collection is the process of gathering and measuring information from various sources, in a way that enables you to find answers to real questions, and to gain new insights that would not otherwise be immediately obvious – for example the accurate assessment of collected data can help you analyze current trends and even predict future trends.

Why Should You Collect Data?

By now, you would already have a general idea of data collection, but are you convinced enough to employ it yet?

If not, let’s explore the advantages and uses of data collection.

  • It aids you in understanding your customers better. 
  • It helps you analyze trends better, as to how customer opinions and behaviour change over time.
  • You can make quicker, more effective decisions based on the data collected.
  • It enables you to segment audiences and curate dedicated marketing strategies for each segment.
  • Feedback data let’s you resolve issues and you improve your product/services.
  • It helps improve customer relationships.

What are the Different Types of Data Collection?

When it comes to data collection there are quite a few useful methods. Well before delving into the data collection methods, there’s something you need to know. Data Collection essentially falls under two main categories: Primary data collection and Secondary data Collection.

Primary Data Collection

 Primary data collection is the act of gathering raw data collected for a specific research. Primary data collection methods can be further divided into two:

1. Qualitative Research Method

Qualitative research method basically depends on the non – calculable elements like the emotions, opinions and feelings. This method does not involve any numbers or calculations whatsoever. A fine example of a qualitative data collection method would be open-ended feedback.

2. Quantitative Method

As opposed to qualitative methods of data collection, quantitative method depends on numbers and mathematical calculations to arrive at a conclusion. Any close-ended question that demands calculated answers, like the ones involving mean, median, mode etc.

Secondary Data Collection

In simple words, Secondary data collection takes place when you collect data from a secondary source rather than from the original one. This kind of data can be sourced from online portals, books and journals that have been already published. It is often the easier and cheaper method when compared to primary data collection.

Now, we know what’s going on in your mind. Which one to choose? Primary or secondary data collection method. Well, the choice depends on the area of research, your requirements, the kind of organization you run and its goals.

10 Effective Data Collection Methods

Now that you know the different categories of data collection, let’s move to the crux of our article, the top 10 data collection methods.

1. Forms and Questionnaires

This is one of the most sought after methods of primary data collection. The method guarantees accuracy of data to a great extent, especially when relied on online surveys, forms or questionnaires. Such a data collection method can be used to procure answers for close-ended questions quite efficiently. 

If you are dealing with a large audience, then definitely form and questionnaires are your best bets. You will be able to collect definitive data from a large audience in a matter of minutes! 

Yes, the data collection method is quite useful and can generate a lot of information and leads if designed properly. 

You need to carefully plan out the questions. Make sure you include relevant, short questions in your forms that can be easily understood by your audience. If not chances are that your audience might feel disengaged and eventually opt out from responding. So, if  response rates and valuable information is what you want make sure you have an engaging, relevant questionnaire form. 

You can make use of online data collection tools like form builders to make the process easier. Most of these tools offer a variety of templates and also automate the workflow to suit your needs.

2. Interview

Interview is yet another data collection method used to gather crucial information. It can be conducted in person, through a phone call or web chat. 

Open ended questions are more often asked in interviews. Here too, you need to be aware of the questions to be asked and shouldn’t compromise with the quality and efficiency. Interviews can be an expensive method of data collection and you should not leave room for errors.

The customizability of interviews is one benefit that the interviewer has. He/she can ask follow-up questions that pertain to the previous answers as the information exchange takes place in real time. 

3. Observation

When it comes to observation, there are minimal questions involved. The information gathered by the researcher can also be based on the judgements they make of the observation yet it needn’t be biased always. 

Observation helps you make a note of the changes that happen in real time which is not always possible with other methods. For instance, you can observe how the mood of your audience changes in real time. 

Observation is one of the key data collection methods used to form a hypothesis. It is not viable always as it depends on the situation and biased results can be expected. 

4. Documents and Records

Documents and Records based data collection makes use of existing data for gathering information. 

This is a secondary data collection method where you don’t have to spend time researching on your own as a major part of the research has been recorded.

You don’t have to curate a list of questions as there is no such demand. Financial and attendance records are an example of this method. 

Relying on documents and Records is also one of the most cost-effective data collection methods though not as efficient as it’s counterparts. 

5. Focus Groups

Focus Groups fall in the qualitative data collection category. This kind of research involves a group of individuals that provides feedback and answers to the open-ended questions asked to them. Focus groups can be seen as a combination of interviews, surveys and observation. 

The main objective of such a data collection method is to gather collective opinions rather than individual ones. 

The organizer can ask open ended questions like ‘What was your favourite feature of the product’ or similar questions. The group discusses among themselves and puts forward a shared opinion. 

6. Oral Histories

As its name suggests, oral history can be defined as the collection, preservation and interpretation of historical data that were based on the experiences and thoughts of people who were part of the particular event. Oral histories are mainly based on a single phenomenon or event. 

7. Combination Research

Coming under the primary data collection category, combination research is a blend of both focus groups and interviews. The main objective of such a method is to improve participation so that data about sensitive topics can be gathered without much difficulty. 

Combination research protects the anonymity of the respondents allowing them to give accurate unbiased information, that enhances the richness of the data. 

The only drawback of this data collection method would be that it is time consuming. 

8. Online Tracking

Did you know that 40 different data points are covered when someone visits a page on your website? Yes, they do and that is why online tracking can be one of the best data collection methods for website owners. 

The website hosting provider or even an analytics software can act as your data collection tool here and help you collect information about both customers and prospects alike. 

You can also use tracking pixels and cookies to further track the activities of your website visitor over the course of numerous sessions.

9. Online Marketing Analytics

Marketing Campaigns can also be an excellent method for collecting data. Let us explain how.

You will be able to collect valuable information from the marketing campaigns run through webpages, social media, emails etc. The software that you use to place the ads in various destinations can help you collect data. 

The tool can tell you who clicked on your ad, how many clicked, how many times was it clicked, from what device was it clicked, from which region you procured the maximum clicks and so on. 

Data can be collected even from offline marketing campaigns as well. For example an advertisement on the side of a bus can have a particular phone number or short URL advertised which is specific to that offline campaign, this way your sales team knows exactly where they originated from.

10. Social Media Monitoring

Today, every business has its presence in social media. Social media platforms are not just for brand building alone but for collecting reliable customer data as well. 

You can get vital data from various aspects of social media. For instance, you can measure the engagement of your customers with your posts through the number of impressions, likes, shares and comments. 

You can analyze the activities of your followers, how they respond to your page in social media and even segment them accordingly. 

You can either make use of the social media platform for analytics on the performance of your posts or employ a social media management software to act as your data collection tool in this context. 

Structured Data vs Unstructured Data

When you collect data, especially if there are large quantities of it, in order for it to be most useful it needs to be "structured". What this means is that the data should be placed into a logical structure so that tools (and also people), can efficiently come to conclusions about the data.

For example if you have 500 PDF documents, this isn't particularly useful when it comes to the "analysis" part of the data collection process. But if you could record pieces of structured information alongside those PDF's you now suddenly have a very efficient way of filtering and searching through your data. One of the major advantages of using a forms platform like GlobalPatron as part of your data collection is exactly this, it by default aligns the data you collect into a structured format. For example a HR person collecting data (in this case PDF Resume's of Job applicants - which is "unstructured data"), also collects structured data alongside these PDF's such as "years of experience", and "education level". This way he can rapidly search and filter the applicants based on those two pieces of structured data, and only needs to open up the PDF of applicants that meet his filter criteria. This is a basic example but shows how important collecting structured data is.

Privacy & Trust

When working with any data, it is essential that you not breach the trust of your customers. Never disclose collected data to third parties, and never collect data without the customers consent. Doing so can expose your organisation to serious legal consequences and hefty fines. If you are collecting data from customers in an automated/discreet manner (e.g. by reviewing server activity logs), you must ensure that you have a privacy policy and comply with GDPR standards, as customers have a right to know what data you are collecting about them, and also have the right to request that you delete that data. GDPR compliance is too large a topic to be covered here, but all organisations involved in data collection would be advised to comply with its rules, even if they are not dealing with customers in Europe.

Final Thoughts

Data collection is no more a once in a blue moon affair. Collecting data has become a necessity for all organisations that want to be able to make better informed decisions.

Collecting data lets you know what your customers think about your brand, points out the areas that can improve, helps generate leads, and lets you update your products and services as per the latest customer behaviour and trends.

If you are serious about your business or organisation and want to see it reach its goals more efficiently and effectively, then surely data collection and analysis should be on your list.

We hope this article was useful. So now you can choose the preferred methods for your organization, assign an efficient data collection software and get started!

Also, if you haven't yet used GlobalPatron's online form platform for data collection, feel free to have a look, it's free to access and will help you rapidly collect structured data.