You’ve rolled out an interface that is conversational by Amazon Lex, with a target of enhancing the user experience for the customers. Now you like to track how good it is working. Are your prospects finding it helpful? Exactly just exactly How will they be deploying it? Do they enjoy it sufficient to keep coming back? How could you evaluate their interactions to add more functionality? Without having a view that is clear your bot’s user interactions, questions such as these may be hard to answer. The present launch of conversation logs for Amazon Lex makes it simple getting near-real-time exposure into just how your Lex bots are doing, according to real bot interactions. With discussion logs, all bot interactions may be saved in Amazon CloudWatch Logs log teams. You can make use of this conversation information to monitor your bot and gain insights that are actionable boosting your bot to enhance an individual experience for the clients.
In a blog that is prior, we demonstrated how exactly to allow discussion logs and make use of CloudWatch Logs Insights to assess your bot interactions. This post goes one action further by showing you the way to incorporate by having an Amazon QuickSight dashboard to get business insights. Amazon QuickSight enables you to effortlessly create and publish dashboards that are interactive. You can easily pick from a considerable collection of visualizations, maps, and tables, and include interactive features such as for example drill-downs and filters.
In this company cleverness dashboard solution, you will definitely utilize an Amazon Kinesis Data Firehose to constantly stream discussion log information from Amazon CloudWatch Logs to an amazon bucket that is s3. Continue reading “Developing company cleverness dashboard for the Amazon Lex bots”