You’ve rolled away an interface that is conversational by Amazon Lex, with an objective of enhancing the consumer experience for the clients. So Now you desire to monitor how good it is working. Are your visitors finding it helpful? Just just How will they be utilizing it? Do they enjoy it adequate to keep coming back? How could you evaluate their interactions to add more functionality? With no clear view into your bot’s user interactions, concerns like these are hard to respond to. The present launch of conversation logs for Amazon Lex makes it simple getting visibility that is near-real-time exactly exactly exactly how your Lex bots are performing, according to real bot interactions. With discussion logs, all bot interactions may be kept in Amazon CloudWatch Logs log groups. You need to use this conversation information to monitor your bot and gain actionable insights for improving your bot to boost an individual experience for the clients.
In a previous article, 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 company insights. Amazon QuickSight allows you to effortlessly produce and publish dashboards that are interactive. You can easily pick from a library that is extensive of, maps, and tables, and include interactive features such as for instance drill-downs and filters.
In this company cleverness dashboard solution, you may make use of an Amazon Kinesis information Firehose to constantly stream conversation log information from Amazon CloudWatch Logs to an amazon bucket that is s3. The Firehose delivery flow employs A aws that is serverless lambda to change the raw information into JSON information documents. Then you’ll usage an AWS Glue crawler to automatically learn and catalog metadata with this information, therefore that one may query it with Amazon Athena. Read more