More and more companies today choose to automate parts of their operations to work more efficiently. With today’s modern technology, it’s also possible to fully or partially automate survey management to expedite the process while reducing the risk of errors.
Here are four reasons why you should automate your survey reporting process (from data collection to reporting):
1. Automation provides faster deliveries
Imagine conducting a large market research study and then having to compile the results for the client. With a 100-page report, this entails many hours of work just cutting and pasting data into a PowerPoint from other tools.
What if you could create a finished report in just a few minutes instead? With an automated system, you can prepare the report structure during the data collection period, and when all the results are analysed and ready, you generate the report with a few clicks. Suddenly, the client can receive the report several days earlier, and you’ve avoided a lot of manual work.
2. Reduces the risk of errors
The manual work involved in market research, often eliminated in an automated system, can be entirely or at least significantly reduced. This not only results in significant time savings but also reduces the risk of human errors.
Additionally, control functions can be implemented during the data collection process to safeguard against incorrect data entries. This way, you can create increased confidence throughout the process, from collection to report generation. In the end, you get a better report that you and your clients can trust 100%.
3. Allows more time for analysis
Too often, the work involved in surveys gets stuck in data management instead of analysis. It’s also common for researchers to use several different tools on the way to the final report:
- data collection in a survey tool
- statistical tools like SPSS
- creating tables in Excel
- creating reporting slide decks in PowerPoint
Here are some common tasks:
- Combine different variables into indexes
- Create new variables to group answers like Top 2 box / T2B score (percentage positive answers) per question
- Calculate the mean, convert to a 0-100 scale, or NPS
- Calculation correlations
- Significance tests to examine groups whose results differ
- Manually create graphs from Excel tables
The time that should be spent analysing and deriving key insights disappears in managing all the data. Automating this process simply shifts the workload from humans to machines so you as the analyst can focus on insight creation.
4. Automation increases scalability
When you work in a scalable process, the workload doesn’t increase whether you handle five or a hundred clients. An automated system helps you gather all the subtasks in one place and reduces the risk of errors in data handling, making it possible to produce reports continuously. What remains, of course, is the human ability to draw conclusions from all the data. But with the help of benchmarks, AI analysis, and clear visualisations – even that part can be optimized.
Of course, there is no reason to automate for the sake of automation. The goal must always be to streamline your business-critical processes, making them faster and of higher quality.
When you start automating parts of the work, it often becomes clear that certain steps are partially or entirely redundant because they address a problem that no longer exists in an automated workflow. This means you can spend more time on the right things instead of focusing on doing things right. Therefore, make sure you automate parts that lead to better customer deliveries. Both your employees and customers will thank you!
Would you like to know more about how your company can benefit from automated survey management? Contact us, and we’ll schedule a free meeting!