Synthetic users

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

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 detailed

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!”Research

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. Using

Remediation with the option to watch visual session replays of users interacting with web services or applications.RUM, however, has some limitations, including the following:RUM requires traffic to be useful. If teams use RUM in a pre-production environment, it’s challenging to get useful information. Because teams use pre-production environments for testing before releasing an application to end users, they have no access to real-user data.RUM works best only when people actively visit the application, website, or services.In some cases, you will lack benchmarking capabilities. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board.RUM generates a lot of data. RUM’s attention to detail results in a more accurate diagnosis of end-user issues and experiences. However, the volume of data it generates can make responding to specific issues cumbersome and difficult to prioritize.What is synthetic monitoring?Synthetic monitoring, also known as synthetic testing, is a performance monitoring practice that emulates users’ paths when engaging with an application. It uses scripts to generate simulated user behavior for different scenarios, geographic locations, device types, and other variables.After collecting and analyzing this valuable performance data, a synthetic monitoring solution keeps tabs on application updates and how an application responds to typical user behavior. For example, synthetic monitoring can zero in on specific business transactions, such as completing a purchase or filling in a web form. This gives teams crucial insight into how an application is performing.Benefits and challenges of synthetic monitoringSynthetic monitoring is good at catching regressions during development lifecycles, especially with network throttling. The benefits of synthetic monitoring include the following:Simulation of entire user journeys in a controlled application environment.The ability to identify application performance issues and potential issues by running interval tests.Customized tests based on specific business processes and transactions — for example, a user leveraging services when accessing an application.Complex transaction and process monitoring that might have deeper dependencies. For example, in e-commerce, you can validate and test checking out a shopping cart.Application or service lifecycle testing at every stage. This includes development, user acceptance testing, beta testing, and general availability.Geofencing and geographic reachability testing for areas that

Synthetic or directed monitoring is a method to monitor your applications by simulating users – directing the path taken through the application. This directed monitoring provides information as to the uptime and performance of your critical business transactions, and most common paths in the application. The simple reality is that there is no easy way to combine the accessibility, coherence, and manageability offered by a centralized system with the sharing, growth, cost, and autonomy advantages of a distributed system. It is here, at this intersection, that businesses turn to IT development and operations teams for guidance—APM tools enable them to negotiate these gaps.How Does Synthetic Monitoring Work?Synthetic monitoring works by issuing automated, simulated transactions from a robot client to your application in order to mimic what a typical user might do. Synthetic monitoring can be applied inside the firewall - within the data center to ensure that all the machines are running properly, or outside the firewall to provide information about availability and performance from a global perspective. These server calls and testing scripts become “monitoring” tools by running at set, regular intervals—say, every 15 minutes—and can be issued from a single designated synthetic monitoring client browser or from multiple browsers at different server locations to better gauge site availability and responsiveness, globally.In this way, you get a steady, solid baseline on which to monitor server and application performance, 24/7, even during periods of low user engagement. Moreover, because it consists of test scripts— simulating an end-user’s clickstream through basic navigation, form submission, shopping-cart transactions, or even online gaming—synthetic monitoring can run in private test environments before deploying new features or during regular offline maintenance, revealing potential obstacles before real users have the chance to run into them. The activity can either simulate a browser or drive an actual browser.Browser simulation is straightforward and takes up little resources, but it does not provide an accurate picture of the user experience. Simulated browsers cannot follow dynamic, rich websites and therefore may not provide accurate user experience data. While synthetic tests provide a baseline and monitor your applications regardless of the time