Research and Data Collection
At Poltem Academy, we know all the difficulties researchers face in the data collection process and make this process transparent, reliable, and effortless for you.
Solution Center For Researchers
We overcome the difficulties in the data collection process with technology and our large participant network.
Academic Support
We are aware of the difficulties our academicians and graduate students face in finding participants for their surveys. We make this process easier for you. Just send us your survey; our participants will answer your surveys meticulously with scientific precision.
Real Participants
Our members consist of real people who completely fill out their profile information. We instantly check their answers with trap questions and various algorithms we have developed. We maintain data reliability at the highest level.
Process Management
Our priority is to determine the most suitable sample. We conduct instant tracking to ensure surveys are filled safely. We know data collection is troublesome; therefore, we aspire to manage the processes of all our researchers.
Large Participant Network
Create the most accurate sample for your research by quickly reaching thousands of approved participants with different demographic characteristics.
Reliable Data
We eliminate fake or incomplete data thanks to participants' attention checks and our data cleaning algorithms.
Fast Results
Accelerate your research by reaching the targeted number of data in a much shorter time compared to traditional data collection methods.
How Does the Process Work?
We make the data collection process transparent and effortless for you.
Defining the Problem
Clarifying your research problem and target audience with our experts.
Integration
Complete integration of your survey design or interview questions into the Poltem platform.
Filtering & Invitation
Sending special invitations to pre-filtered participants suitable for the target audience.
Instant Tracking
Transparent instant tracking of the data collection process via the researcher panel.
Quality Control
Subjecting the collected data to manual and algorithmic quality control processes.
Delivery
Delivery of the ready-to-analyze dataset (SPSS, Excel, etc.) or interview transcripts.