Theysaid VS Plotly
Compare Theysaid VS Plotly and see what are their differences
Exercise dataset for fitness apps: transparent background, animations, no subscription
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Theysaid
Survicate
Dovetail
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Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
TheySaid - The everything app for feedback, powered by AI and voice to gather, analyze, and act on feedback. Conduct interviews, user tests, surveys, polls, and funnel results into a single dashboard or your database via integrations.
Popular use cases include onboarding, customer + employee experience, lost sales deals, product research, and more!
Theysaid PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Theysaid's answer
Most surveys are dull and only scratch the surface. TheySaid turns surveys into conversations, asking real-time follow-ups, revealing the why behind every answer. This gives revenue leaders sharper visibility into customer needs, fueling faster, more confident business decisions that drive growth.
Theysaid's answer
Most survey tools stop at collecting answers, giving leaders surface-level data thatโs hard to act on. TheySaid turns feedback into real conversations with smart follow-ups, capturing the why behind customer behavior. This means revenue leaders donโt just get data, they get clear action items: what to improve, where to double down, and how to reduce churn. And with insights delivered 10x faster, they can act quickly to capture growth opportunities and make confident business decisions.
Theysaid's answer
TheySaid is built for B2B leaders who rely on customer insights to drive growth. Our primary audience includes Customer Success teams, Revenue leaders, Product managers, and Marketing executives at SaaS and subscription-based businesses. They use TheySaid to uncover authentic customer sentiment, strengthen retention, and identify expansion opportunities.
Theysaid's answer
Surveys were dead. Customers ignored them, response rates tanked, and leaders were left making decisions on scraps of data. Lihong Hicken and Chris Hicken saw the gap and built TheySaid, the first AI-powered conversational survey that actually listens. With AI interviews, live polls, and user testing alongside surveys, TheySaid captures the why behind every answer and instantly translates insights into clear action items. For revenue leaders, that means faster decisions, smarter growth moves, and insights delivered 10x quicker than any traditional tool.
Theysaid's answer
TheySaid leverages advanced AI (natural language processing, machine learning, and generative AI), cloud infrastructure, and secure integrations with popular CRM and HR systems to deliver fast, scalable, and reliable insights.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Survicate - Collect feedback on your website and find out more about your visitors.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Dovetail - Mobile Cloud-Based Dental Software
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Sprig - Delivering locally-sourced, seasonal, sustainable lunches and dinners.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.