Synthetic users
Author: u | 2025-04-24
Synthetic Users and Synthetic Users logo are trademarks and tradenames of Synthetic Users Inc and may not be used or reproduced without consent. Artwork by Pablo StanleyCC 4.0 What is Synthetic Users? Synthetic Users is an advanced research platform that uses AI and natural language processing to generate synthetic user types that mimic real human behavior.
SYNTHETIC USERS - hollidownsphd.squarespace.com
Trusted byThe world’s most powerful in-depth interviewsSynthetic Users uses the most advanced AI architecture to create accurate synthetic interviewsIn depth interviewsSurveys with global reachProprietary DataYou can probe deeper with every interview, ask more questions (for as long as you would like) and generate insights report.Annotate and share with your team.Run quantitative research at a massive scale in minutes. Thousands of surveys and quick insight.Alternate between interviews and surveys for maximum insights.With RAG you’re able to enrich your Synthetic Users and make them truly yours. This way you make your Synthetic Users much more unique.Use Cases where Synthetic Users solve your problemWhere are you in the product lifecycle?Run Problem Exploration interviews to get user behaviours, pain points and context.Start testing ideas and concepts using your Custom Script interviews and Solution Feedback Interviews.Continuous Insight to enhance user satisfaction and identify additional needs.A complete suite based on your research needs4 types of interviews“What you are building will radically democratize access to qualitative research within companies.”Johan Van LangendonckDirector of StrategyData showingeffectivenessAt the end of the day it’s all about Synthetic Organic parity. We’re very open about how we measure it and improve on it.Your questions, answeredThe questions we get all the time and that we are happy to respond in detail below.Synthetic Users uses the power of LLMs to generate users that have very high Synthetic Organic Parity. We start by generating a personality profile for each user, very much like a reptilian brain around which we reconstruct its personality. It’s a reconstruction because
Meet Your New Test Audience: Synthetic Users - Synthetic User
Are more challenging to access. For example, the ability to test against a wireless provider in a remote area.Performance testing based on variable metrics (i.e., connectivity, access, user count, latency) of geographic regions.Much like RUM, however, synthetic monitoring has its limitations. Here are some drawbacks:Synthetic monitoring can be too predictable. In synthetic monitoring, tests and results are generated in a controlled and predictable testing environment. Because synthetic monitoring doesn’t track real users, you’ll have challenges gauging what an end user might experience in the event of an unpredictable variable.Tools may be limited. Depending on the vendor or technology you work with, you may not be able to integrate existing tools with scripts for your tests.The range of costs and feature sets can vary widely for synthetic monitoring tools. It’s recommended to work with partners that can deliver RUM and synthetic user monitoring to deliver the most value.Synthetic monitoring vs. real user monitoring: Which do you need?The real answer may not be one or the other. Instead, when working with websites, applications, or services, you may need both. While synthetic monitoring allows you to create a consistent testing environment by eliminating the variables, both RUM and synthetic monitoring provide feedback about site, application, or service performance. The strength of both solutions comes when you combine them.By using synthetic monitoring and RUM together, you can thoroughly investigate specific user issues, and discover and resolve shortcomings. Furthermore, both tools provide full visibility into user and service performance. Using both, you can gauge how fast a site or service needs to be to ensure user satisfaction and to deliver optimal performance.Together, RUM and synthetic monitoring can accomplish the following:Help correlate business requirements with performance levels by providing the performance data you need to analyze the end-user experience.Pinpoint challenges before active users access your website or services by identifying problems, such as configuration issues, so you can fix them before users log on.Use data from one engine to facilitate testing for the other. For example, you can use RUM data to provide real use cases you can use for simulation in synthetic monitoring for detailedSynthetic Users: Product Development with User
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Architecture, Synthetic Users also benefit from enhanced contextual understanding and continuity in interactions. While GPT may provide coherent responses to isolated queries, Synthetic Users can maintain context across multiple interactions, enabling deeper and more consistent engagement. This capability allows for the simulation of long-term behaviors and relationships, offering a more holistic view of user dynamics. The incorporation of various foundation models and proprietary data further ensures that Synthetic Users deliver more accurate and contextually rich outputs, making them a superior choice for complex and specific use cases.Here is the full FAQOur price is per interview, not per seat. No hidden fees.Loved and trusted by the bestA small selection of what leaders, makers and builders have said about us.“What you are building is absolutely massive. This is a breakthrough for people wanting to validate an idea, look at how to solve a problem and accelerate the validation of hypotheses.”“I just tried your product and I’m honestly scared. This reminded me of an episode of black mirror.”Diego JorgeProduct Manager @TopTotal“What you are building will radically democratize access to qualitative research within companies.”Johan Van LangendonckDirector of Strategy, M&A and Partnerships at Bridgestone Mobility Solutions“Oh! And I'm also someone who's used Synthetic Users to give me starting intelligence to then go and confirm that feedback with real life people. And guess what? The AI feedback lined up with human feedback over 95% of the time.”Adam KingBehaviours Scientist“If you’ve loved Synthetic Users, send us message on Twitter or Discord. We are building it with you!”ResearchTerms and conditions - Synthetic Users
Real-User MonitoringSynthetic monitoring, also called directed or active monitoring, and real user monitoring also called passive monitoring; with each method there can be variations in the specifics of performing the task. Synthetic monitoring means that a script is used to create activity that is monitored- the activity can be anything from a simple ping to determine if a server is up, to an emulated user transaction which uses a real browser.Real monitoring is a technique to collect the data coming in from real user transactions so what is monitored is only what actual users are doing. Simple synthetic monitoring, such as up/down monitoring or partial transaction monitoring can’t provide a view into the impact on users or the performance of the system. Real monitoring can show you what is happening to users, but the problem is that if a user isn’t using the system- then you are not monitoring it.Offerings range from tools that simply ping a server to solutions that drive browsers to those that look at a complete end-to-end transactions. Prices range from free to many thousands of dollars.So what can synthetic monitoring do for you ?Synthetic monitoring lets you find problems before your customers do. If the right techniques are employed, synthetic monitoring can provide a view from the same perspective as end users, to tell you what the performance is – and whether customers will be satisfied with the experience.This means that you can see the performance of your applications and APIs before launching them or at 3am after applying changes, as well as during peak times. A fully featured synthetic monitoring system will provide performance measurements from the browser, measurements such as first paint time, above the fold load times and specific object load times.Those granular measurements are what tell you specifically what users will see-and how long until they see it, i.e. what the performance is of your applications. The right system will run tests that emulate the users so closely that the only difference, between a real live customer and the test, is that the navigational path of the test doesn’t vary. UsingWhat is synthetic user monitoring?
This method provides a baseline for performance and therefore a basis to understand if there is a problem.Looking at a performance problem with synthetic monitoring means shorter MTTR. This is because you understand the test being run and can therefore more easily reproduce issues and study them.The top 7 reasons why you need synthetic monitoring?Find and fix issues before they impact your end usersSynthetic monitoring helps you emulate user interactions and run them as tests from global monitoring locations or from behind your firewall. Synthetic monitoring proactively watches over your APIs, websites, web, mobile and SaaS applications, even during the low-traffic periods, and alerts your operations team in case of performance degradation or availability issues. So you get enough bandwidth to identify the problem, engage subject matter experts, find the root cause and fix issues before they impact the end users. Baselining and BenchmarkingSynthetic monitoring gives you the ability to monitor your APIs and applications at frequency and location(s) of your choice, at all times. Over time, this monitoring data can be used for baselining your application’s performance, identifying areas of improvement and developing performance improvement strategies. You can also use synthetic monitoring to benchmark your applications availability and performance with your historic self or against competitors. Prepare for the peak traffic season or a new marketSynthetic monitoring gives you a unique ability to monitor the area of your website or application which doesn’t have real user traffic yet. Imagine a new marketing campaign driving traffic to a new area of the application. Synthetic monitoring allows you to proactively simulate traffic to that area and help you ensure availability and performance. The other use case is when you are launching your services in a new geography. Synthetic monitoring enables you to check your applications performance from that geography and address performance issues, if any, before your real end users encounter them Monitor complex transactions and business processesOnly checking availability and uptime of your APIs and applications is not sufficient when you are striving to deliver a high quality application performance. Synthetic monitoring allows you to emulate business processes or user. Synthetic Users and Synthetic Users logo are trademarks and tradenames of Synthetic Users Inc and may not be used or reproduced without consent. Artwork by Pablo StanleyCC 4.0Comments
Trusted byThe world’s most powerful in-depth interviewsSynthetic Users uses the most advanced AI architecture to create accurate synthetic interviewsIn depth interviewsSurveys with global reachProprietary DataYou can probe deeper with every interview, ask more questions (for as long as you would like) and generate insights report.Annotate and share with your team.Run quantitative research at a massive scale in minutes. Thousands of surveys and quick insight.Alternate between interviews and surveys for maximum insights.With RAG you’re able to enrich your Synthetic Users and make them truly yours. This way you make your Synthetic Users much more unique.Use Cases where Synthetic Users solve your problemWhere are you in the product lifecycle?Run Problem Exploration interviews to get user behaviours, pain points and context.Start testing ideas and concepts using your Custom Script interviews and Solution Feedback Interviews.Continuous Insight to enhance user satisfaction and identify additional needs.A complete suite based on your research needs4 types of interviews“What you are building will radically democratize access to qualitative research within companies.”Johan Van LangendonckDirector of StrategyData showingeffectivenessAt the end of the day it’s all about Synthetic Organic parity. We’re very open about how we measure it and improve on it.Your questions, answeredThe questions we get all the time and that we are happy to respond in detail below.Synthetic Users uses the power of LLMs to generate users that have very high Synthetic Organic Parity. We start by generating a personality profile for each user, very much like a reptilian brain around which we reconstruct its personality. It’s a reconstruction because
2025-04-22Are more challenging to access. For example, the ability to test against a wireless provider in a remote area.Performance testing based on variable metrics (i.e., connectivity, access, user count, latency) of geographic regions.Much like RUM, however, synthetic monitoring has its limitations. Here are some drawbacks:Synthetic monitoring can be too predictable. In synthetic monitoring, tests and results are generated in a controlled and predictable testing environment. Because synthetic monitoring doesn’t track real users, you’ll have challenges gauging what an end user might experience in the event of an unpredictable variable.Tools may be limited. Depending on the vendor or technology you work with, you may not be able to integrate existing tools with scripts for your tests.The range of costs and feature sets can vary widely for synthetic monitoring tools. It’s recommended to work with partners that can deliver RUM and synthetic user monitoring to deliver the most value.Synthetic monitoring vs. real user monitoring: Which do you need?The real answer may not be one or the other. Instead, when working with websites, applications, or services, you may need both. While synthetic monitoring allows you to create a consistent testing environment by eliminating the variables, both RUM and synthetic monitoring provide feedback about site, application, or service performance. The strength of both solutions comes when you combine them.By using synthetic monitoring and RUM together, you can thoroughly investigate specific user issues, and discover and resolve shortcomings. Furthermore, both tools provide full visibility into user and service performance. Using both, you can gauge how fast a site or service needs to be to ensure user satisfaction and to deliver optimal performance.Together, RUM and synthetic monitoring can accomplish the following:Help correlate business requirements with performance levels by providing the performance data you need to analyze the end-user experience.Pinpoint challenges before active users access your website or services by identifying problems, such as configuration issues, so you can fix them before users log on.Use data from one engine to facilitate testing for the other. For example, you can use RUM data to provide real use cases you can use for simulation in synthetic monitoring for detailed
2025-04-20Architecture, Synthetic Users also benefit from enhanced contextual understanding and continuity in interactions. While GPT may provide coherent responses to isolated queries, Synthetic Users can maintain context across multiple interactions, enabling deeper and more consistent engagement. This capability allows for the simulation of long-term behaviors and relationships, offering a more holistic view of user dynamics. The incorporation of various foundation models and proprietary data further ensures that Synthetic Users deliver more accurate and contextually rich outputs, making them a superior choice for complex and specific use cases.Here is the full FAQOur price is per interview, not per seat. No hidden fees.Loved and trusted by the bestA small selection of what leaders, makers and builders have said about us.“What you are building is absolutely massive. This is a breakthrough for people wanting to validate an idea, look at how to solve a problem and accelerate the validation of hypotheses.”“I just tried your product and I’m honestly scared. This reminded me of an episode of black mirror.”Diego JorgeProduct Manager @TopTotal“What you are building will radically democratize access to qualitative research within companies.”Johan Van LangendonckDirector of Strategy, M&A and Partnerships at Bridgestone Mobility Solutions“Oh! And I'm also someone who's used Synthetic Users to give me starting intelligence to then go and confirm that feedback with real life people. And guess what? The AI feedback lined up with human feedback over 95% of the time.”Adam KingBehaviours Scientist“If you’ve loved Synthetic Users, send us message on Twitter or Discord. We are building it with you!”Research
2025-03-29Real-User MonitoringSynthetic monitoring, also called directed or active monitoring, and real user monitoring also called passive monitoring; with each method there can be variations in the specifics of performing the task. Synthetic monitoring means that a script is used to create activity that is monitored- the activity can be anything from a simple ping to determine if a server is up, to an emulated user transaction which uses a real browser.Real monitoring is a technique to collect the data coming in from real user transactions so what is monitored is only what actual users are doing. Simple synthetic monitoring, such as up/down monitoring or partial transaction monitoring can’t provide a view into the impact on users or the performance of the system. Real monitoring can show you what is happening to users, but the problem is that if a user isn’t using the system- then you are not monitoring it.Offerings range from tools that simply ping a server to solutions that drive browsers to those that look at a complete end-to-end transactions. Prices range from free to many thousands of dollars.So what can synthetic monitoring do for you ?Synthetic monitoring lets you find problems before your customers do. If the right techniques are employed, synthetic monitoring can provide a view from the same perspective as end users, to tell you what the performance is – and whether customers will be satisfied with the experience.This means that you can see the performance of your applications and APIs before launching them or at 3am after applying changes, as well as during peak times. A fully featured synthetic monitoring system will provide performance measurements from the browser, measurements such as first paint time, above the fold load times and specific object load times.Those granular measurements are what tell you specifically what users will see-and how long until they see it, i.e. what the performance is of your applications. The right system will run tests that emulate the users so closely that the only difference, between a real live customer and the test, is that the navigational path of the test doesn’t vary. Using
2025-04-08