How We Work.
Here you can find information about how Perspetivo works, our research methodology and the most frequently asked questions.
Our Method
Perspetivo is a digital research company with a technical solution that makes it possible to reach the entire population, including groups that are often excluded from traditional surveys.
About our Panel
Our panel are recruited through targeted digital campaigns and a stratified random sampling process that takes into account factors such as consumption patterns, language, culture, and geography. In this way, we reach both the general population and groups that are otherwise difficult to capture, for example, young people and foreign-born residents.
Representative data is ensured through targeted recruitment efforts. We continuously track the demographics of our panel in real time to ensure that the sample reflects the population. Naturally, we also follow the aggregated demographic distribution in each survey to guarantee full representation of the intended target group. The results of our surveys are delivered quickly, often within just a few days, providing a reliable basis for decision-making.
About our Surveys
Our surveys are based on scientific methods using stratified and randomized samples, ensuring that the results are representative of the population. Perspetivo applies confidence levels and margins of error according to established statistical practice. Another strength is that all panel participants are verified through BankID, guaranteeing that they are real individuals and not automated accounts. The platform fully complies with GDPR and industry standards for data security.
FAQ
What is representative data?
Representative data accurately reflects the composition of the group you want to understand, for example, the Swedish population. This means that age, gender, geography, education level, and other relevant variables are proportionally balanced, so that your insights mirror reality rather than skewed or partial views.
Your sample can be sound (i.e., designed to be representative), but the final collected data can drift away from representativeness due to nonresponse, operational issues, or uneven participation.
At Perspetivo, we take active steps to ensure demographic representation, including targeted recruitment, multilingual surveys, and adaptive formats to reach underrepresented groups.
What is representative data?
Representative data accurately reflects the composition of the group you want to understand, for example, the Swedish population. This means that age, gender, geography, education level, and other relevant variables are proportionally balanced, so that your insights mirror reality rather than skewed or partial views.
Your sample can be sound (i.e., designed to be representative), but the final collected data can drift away from representativeness due to nonresponse, operational issues, or uneven participation.
At Perspetivo, we take active steps to ensure demographic representation, including targeted recruitment, multilingual surveys, and adaptive formats to reach underrepresented groups.
What is representative data?
Representative data accurately reflects the composition of the group you want to understand, for example, the Swedish population. This means that age, gender, geography, education level, and other relevant variables are proportionally balanced, so that your insights mirror reality rather than skewed or partial views.
Your sample can be sound (i.e., designed to be representative), but the final collected data can drift away from representativeness due to nonresponse, operational issues, or uneven participation.
At Perspetivo, we take active steps to ensure demographic representation, including targeted recruitment, multilingual surveys, and adaptive formats to reach underrepresented groups.
What is a panel?
A panel is a group of individuals who have voluntarily signed up to participate in surveys. Our panel includes people from across Sweden, covering a wide range of demographics, backgrounds, and life experiences.
Panelists are recruited with quality and diversity in mind, and verified through BankID to ensure every respondent is a real person. They participate anonymously and can opt out at any time.
What is a panel?
A panel is a group of individuals who have voluntarily signed up to participate in surveys. Our panel includes people from across Sweden, covering a wide range of demographics, backgrounds, and life experiences.
Panelists are recruited with quality and diversity in mind, and verified through BankID to ensure every respondent is a real person. They participate anonymously and can opt out at any time.
What is a panel?
A panel is a group of individuals who have voluntarily signed up to participate in surveys. Our panel includes people from across Sweden, covering a wide range of demographics, backgrounds, and life experiences.
Panelists are recruited with quality and diversity in mind, and verified through BankID to ensure every respondent is a real person. They participate anonymously and can opt out at any time.
What is a dashboard?
A dashboard is a digital analysis tool where you can view your survey results in real time. It typically includes:
Summary statistics
Filter options by demographic factors and/or specific answers
Export functions for data and reports
With Perspetivo’s dashboards, you can easily explore, compare and act on your insights, without needing to manually dig through spreadsheets.
What is a dashboard?
A dashboard is a digital analysis tool where you can view your survey results in real time. It typically includes:
Summary statistics
Filter options by demographic factors and/or specific answers
Export functions for data and reports
With Perspetivo’s dashboards, you can easily explore, compare and act on your insights, without needing to manually dig through spreadsheets.
What is a dashboard?
A dashboard is a digital analysis tool where you can view your survey results in real time. It typically includes:
Summary statistics
Filter options by demographic factors and/or specific answers
Export functions for data and reports
With Perspetivo’s dashboards, you can easily explore, compare and act on your insights, without needing to manually dig through spreadsheets.
What is statistical significance?
A measure used in statistics to decide whether a result is extreme enough that it likely didn’t occur by chance. If a result is statistically significant, it usually means there is a real effect or difference.
What is statistical significance?
A measure used in statistics to decide whether a result is extreme enough that it likely didn’t occur by chance. If a result is statistically significant, it usually means there is a real effect or difference.
What is statistical significance?
A measure used in statistics to decide whether a result is extreme enough that it likely didn’t occur by chance. If a result is statistically significant, it usually means there is a real effect or difference.
What is a sample?
A sample is the group of people selected from a larger population to participate in a survey.
Instead of asking everyone in your target group (e.g. all adults in Sweden), you ask a smaller group - the sample.
For the data to be reliable, the sample must be representative of the larger population. This means that key characteristics like age, gender, geography, and other factors are proportionally included, not over- or underrepresented.
What is a sample?
A sample is the group of people selected from a larger population to participate in a survey.
Instead of asking everyone in your target group (e.g. all adults in Sweden), you ask a smaller group - the sample.
For the data to be reliable, the sample must be representative of the larger population. This means that key characteristics like age, gender, geography, and other factors are proportionally included, not over- or underrepresented.
What is a sample?
A sample is the group of people selected from a larger population to participate in a survey.
Instead of asking everyone in your target group (e.g. all adults in Sweden), you ask a smaller group - the sample.
For the data to be reliable, the sample must be representative of the larger population. This means that key characteristics like age, gender, geography, and other factors are proportionally included, not over- or underrepresented.
What is “margin of error”?
The margin of error tells you how much your survey results might differ from the actual views of the entire population. It’s expressed as a percentage, and the smaller the margin, the more precise the results.
For example, if a result is 52% with a ±3% margin of error, the true value could be between 49% and 55%. The margin depends on the sample size, larger samples tend to have smaller margins of error.
What is “margin of error”?
The margin of error tells you how much your survey results might differ from the actual views of the entire population. It’s expressed as a percentage, and the smaller the margin, the more precise the results.
For example, if a result is 52% with a ±3% margin of error, the true value could be between 49% and 55%. The margin depends on the sample size, larger samples tend to have smaller margins of error.
What is “margin of error”?
The margin of error tells you how much your survey results might differ from the actual views of the entire population. It’s expressed as a percentage, and the smaller the margin, the more precise the results.
For example, if a result is 52% with a ±3% margin of error, the true value could be between 49% and 55%. The margin depends on the sample size, larger samples tend to have smaller margins of error.
What is confidence level?
The confidence level shows how certain you can be that the survey results fall within the margin of error. The most common level is 95%, which means that if the same survey were conducted 100 times, the results would fall within the stated margin 95 of those times.
In short: A 95% confidence level means you can trust that your insights are statistically solid, within a known margin of uncertainty.
What is confidence level?
The confidence level shows how certain you can be that the survey results fall within the margin of error. The most common level is 95%, which means that if the same survey were conducted 100 times, the results would fall within the stated margin 95 of those times.
In short: A 95% confidence level means you can trust that your insights are statistically solid, within a known margin of uncertainty.
What is confidence level?
The confidence level shows how certain you can be that the survey results fall within the margin of error. The most common level is 95%, which means that if the same survey were conducted 100 times, the results would fall within the stated margin 95 of those times.
In short: A 95% confidence level means you can trust that your insights are statistically solid, within a known margin of uncertainty.
What is stratified sampling?
Stratified data is based on stratified sampling, where the population is divided into homogeneous subgroups (strata). A random sample is then drawn within each stratum, often in proportion to its share of the population.
The result is a dataset where key variables are correctly represented, reducing sampling error and increasing the precision of estimates, especially for subgroups.
What is stratified sampling?
Stratified data is based on stratified sampling, where the population is divided into homogeneous subgroups (strata). A random sample is then drawn within each stratum, often in proportion to its share of the population.
The result is a dataset where key variables are correctly represented, reducing sampling error and increasing the precision of estimates, especially for subgroups.
What is stratified sampling?
Stratified data is based on stratified sampling, where the population is divided into homogeneous subgroups (strata). A random sample is then drawn within each stratum, often in proportion to its share of the population.
The result is a dataset where key variables are correctly represented, reducing sampling error and increasing the precision of estimates, especially for subgroups.
What is weighting?
Weighting is a method used to assign different factors or data points different degrees of importance, or “weight”, in a calculation or analysis. By applying weights, you can control how much each factor contributes to the final result or balance uneven datasets.
In survey contexts, weighting is often used to adjust the data and balance demographic factors. This has become especially common in studies where collecting representative data, data that reflects the entire target population, is difficult. Perspetivo do not use weighting but only real representation.
What is weighting?
Weighting is a method used to assign different factors or data points different degrees of importance, or “weight”, in a calculation or analysis. By applying weights, you can control how much each factor contributes to the final result or balance uneven datasets.
In survey contexts, weighting is often used to adjust the data and balance demographic factors. This has become especially common in studies where collecting representative data, data that reflects the entire target population, is difficult. Perspetivo do not use weighting but only real representation.
What is weighting?
Weighting is a method used to assign different factors or data points different degrees of importance, or “weight”, in a calculation or analysis. By applying weights, you can control how much each factor contributes to the final result or balance uneven datasets.
In survey contexts, weighting is often used to adjust the data and balance demographic factors. This has become especially common in studies where collecting representative data, data that reflects the entire target population, is difficult. Perspetivo do not use weighting but only real representation.
What is non-response?
Non-response is the term for when people in your sample don’t answer your survey.
Example: You invite 100 people and 70 respond. The non-response is 30%.
What is non-response?
Non-response is the term for when people in your sample don’t answer your survey.
Example: You invite 100 people and 70 respond. The non-response is 30%.
What is non-response?
Non-response is the term for when people in your sample don’t answer your survey.
Example: You invite 100 people and 70 respond. The non-response is 30%.
How do you comply with GDPR?
Perspetivo fully complies with the General Data Protection Regulation (GDPR). Key practices include:
Explicit, informed consent from panelists
Anonymisation of survey responses
Secure data storage within the EU
No tracking, resale, or third-party targeting
Right to access, correct or delete personal data
Strict internal data access policies
No automated decision-making based on personal data
We also appoint a Data Protection Officer (DPO) who oversees all compliance and security matters. For more information, see our Privacy Policy.
How do you comply with GDPR?
Perspetivo fully complies with the General Data Protection Regulation (GDPR). Key practices include:
Explicit, informed consent from panelists
Anonymisation of survey responses
Secure data storage within the EU
No tracking, resale, or third-party targeting
Right to access, correct or delete personal data
Strict internal data access policies
No automated decision-making based on personal data
We also appoint a Data Protection Officer (DPO) who oversees all compliance and security matters. For more information, see our Privacy Policy.
How do you comply with GDPR?
Perspetivo fully complies with the General Data Protection Regulation (GDPR). Key practices include:
Explicit, informed consent from panelists
Anonymisation of survey responses
Secure data storage within the EU
No tracking, resale, or third-party targeting
Right to access, correct or delete personal data
Strict internal data access policies
No automated decision-making based on personal data
We also appoint a Data Protection Officer (DPO) who oversees all compliance and security matters. For more information, see our Privacy Policy.
Do you have questions?
Do you want to know more about how we work and our methodology?
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