UserVoice offers product developers a single interface that collects and analyzes customer feedback from a variety of sources. This gives product makers clear, actionable insights into how to improve their offerings. UserVoice eliminates the need to send out surveys, log emails, and search through message boards when trying to understand customer experiences. When a customer reports a complaint or submits an enhancement request through UserVoice, the customer stays in the loop with updates on how their submission is being considered and resolved. This boosts customer engagement and willingness to provide feedback and ideas for product improvement in the future.
About Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Popular Use Cases
Bring all your UserVoice data to Amazon Redshift
Load your UserVoice data to Google BigQuery
ETL all your UserVoice data to Snowflake
Move your UserVoice data to MySQL
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
UserVoice's End Points
UserVoice Turnkey Install-less Feedback
UserVoice includes a custom-brandable, stand-alone web portal, where your customers can go to provide direct feedback. Users can type in their feedback while receiving auto-suggestions to match their feedback with existing user suggestions. This reduces the chance of feedback duplication and facilitates the surfacing of top ideas. If an issue or enhancement suggestion doesn't exist, users can add a new one. Then, other customers can upvote the suggestion to help you understand the requests to address with the highest priority.
UserVoice In-App Feedback Channel Integration
UserVoice Contributor Sidebar
The Contributor Sidebar is a UserVoice web browser extension that customer-facing teams can use to relay the feedback they capture while interacting with customers. Instead of needing to send an email or drop a post-it note off on a manager's desk, sales associates and customer-facing reps can submit feedback and ideas about enhancement requests and areas for product improvements into the UserVoice system. The Contributor Sidebar browser extension also allows sales teams to connect the feedback they send to an actual customer, who will receive email updates on the status of his or her enhancement request. The sidebar also keeps customer-facing teams in the loop on new developments and progress so they can communicate news to the customers they interact with.
UserVoice Metrics on Product Improvement Opportunities
UserVoice analyzes and groups incoming feedback into easy-to-understand product improvement suggestions, so development teams can understand the number of customers requesting the same improvements. Through visual metrics, graphs, and charts, UserVoice presents valuable information, such as the revenue represented by the customers making specific enhancement requests and how many users want those improvements. This empowers development teams to prioritize the most valuable improvement opportunities.
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.