Although chatbots and voice assistants are very popular nowadays, the majority of conversation interfaces still offer a poor experience and there is often no real way to measure their quality. Being unable to understand where your system is failing can lead to suboptimal conversational experiences, which ultimately frustrate your users. Based on many years of research, we are able to utilize a series of conversational UI best practices and crowd-based metrics for optimizing conversational interactions.
Our optimization process is platform-agnostic, so to support as many chatbot platforms as possible. At the moment, supported technologies include Google Dialogflow, IBM Watson, Rasa, Amazon Lex, Microsoft Bot Framework as well as no-code bot building platforms, such as Chatfuel, LandBot, MobileMonkey, Flow XO, and ManyChat. We are constantly adding more platforms!
For every growth stage of a bot, from conception to production
Explore the needs to meet for a text-based or voice-based bot. Provide technical advice and solutions based on your requirements. We can even lead your in-house team to shape a bot that fulfils your goals.
Evaluate whether your bot development is on-track. Fix issues in the conversational user interface and find out new ways of improving it and boosting your ROI.
Measure your bot performance in real-world settings and validate the actual user experience. Explore aspects omitted during development and receive useful action plans on how to eliminate the highlighted issues.
Utilise the knowledge of conversational agent professionals along with a series of automated testing processes to receive actionable feedback.
Often follows expert evaluation to capture critical human insights, which can be really helpful for improving end-user experience and raising conversion and retention rates.
Do not lose the chance to participate in our tests, help others capture critical insights and improve their conversational experiences in exchange for compensation.
Our testing process is platform-agnostic, so to support as many chatbot platforms as possible. Supported technologies include Google Dialogflow, IBM Watson, Wit.ai, Rasa, Amazon Lex, Microsoft Bot Framework, Chatfuel, LandBot, and ManyChat. We are constantly adding more platforms!
In order to test your virtual agent, we build a series of test suites, each consisting of multiple unbiased test scripts. In case you already have a rich of conversations dataset, we can also utilize them to augment the whole QA process.
No need for coding! Use our simple test builder and submit your own test scripts.
Our experts will analyze your bot and create a set of unbiased test scripts.
Your users will never ask the same thing in the same way. Chatbot testing should reflect that! Enchatted Rephrasing Engine is able to automatically generate and test user utterances by leveraging the power of AI. This will allow you to broaden the scope of responses your chatbot provides to your users.
Ensure your chatbot works 24/7 reliably. Schedule ahead of time and trigger automatically sets of conversation tests. Get notified in real-time and save yourself from embarrassments.
Resolve usability issues and shape easy and intuitive bot-based tasks.
Make a bot-based task meaningful and valuable. Create an emotional connection with your users.
Uncover vulnerabilities of the bot and eliminate ethical or transparency issues between users and bots.
Investigate the interoperability of the bot in several channels and check any potential integration issues.
Determine how a system performs in terms of responsiveness and stability under a certain load.
Ensure that changes and fixes to your bot have not adversely affected its output.
Make sure your bot is accessible by users with hearing or vision impairments and performs reliably against speech impediments.
Explore whether the actual user experience meets your users’ expectations.