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Theysaid VS assertpy

Compare Theysaid VS assertpy and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Theysaid logo Theysaid

Conversational AI surveys, interviews, user tests, polls

assertpy logo assertpy

A straightforward assertion library for Python.
  • Theysaid TheySaid
    TheySaid //
    2025-09-08

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!

  • assertpy Landing page
    Landing page //
    2022-11-06

Theysaid

Website
theysaid.io
Pricing URL
Official Theysaid Pricing
$ Details
Free Trial $49 / Monthly ("Essential" "1 seat license" "1 Active AI project")
Startup details
Country
United States
State
Utah
City
Lehi
Founder(s)
Chris Hicken, Lihong Hicken, Amy Long, Arnab K
Employees
20 - 49
Edit details

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Categories
#Testing #Python
Edit details

Theysaid features and specs

  • AI Surveys
    Conversational AI surveys that dig deeper to uncover the why behind every answer.
  • AI Interviews
    AI conducts adaptive interviews, asking smarter questions and adjusting in real time to uncover deeper insights.
  • 2-way voice
    Users speak to AI and complete their form with voice while AI reads questions aloud.
  • Usability Testing
    Ask users to do tasks, visit websites or prototypes, and get voice and video recordings.
  • AI Sidebar
    AI tells you what you've learned recently, suggests new projects, and answers questions.
  • AI Forms
    Now forms are beautiful with an optional AI assist mode to help users quickly fill out forms.
  • Conditional Logic
    Simple, intuitive branching logic still allows AI to ask follow-up questions.
  • Panel Recruiting
    Recruit feedback participants from our panel integrations, or bring your own panel.
  • Teach AI
    Give AI context about your company, pricing, and product by uploading any document.
  • Integrations
    Full-featured connectors with HubSpot, Salesforce, Slack, and more.
  • Free survey creator
    On the website, you can create or brainstorm your next project and then add it to your account.
  • Import surveys
    Import surveys from your ancient survey tools like Qualtrics, SurveyMonkey, or Typeform.
  • Templates
    The best templates for popular feedback types are available with one click.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of Theysaid

Overall verdict

  • TheySaid (theysaid.io) is a solid AI-powered survey and feedback platform that uses conversational, interactive surveys to gather deeper customer insights than traditional static forms, making it a good choice for teams focused on customer experience and product feedback.

Why this product is good

  • Uses AI-driven conversational surveys that feel more like a dialogue, encouraging higher response rates and richer qualitative feedback
  • Automatically follows up on responses to dig deeper into customer sentiment without manual effort
  • Provides AI-generated summaries and actionable insights, saving teams time in analyzing feedback
  • Easy to set up and deploy surveys across multiple touchpoints such as websites, emails, and products
  • Helps uncover the 'why' behind customer opinions rather than just collecting surface-level ratings

Recommended for

  • Product teams seeking qualitative user feedback to guide roadmap decisions
  • Customer success and experience teams measuring satisfaction and reducing churn
  • SaaS companies wanting to gather in-app feedback conversationally
  • Marketing teams looking for deeper audience insights beyond standard surveys
  • Small to mid-sized businesses that want AI-assisted feedback analysis without heavy manual work

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Theysaid videos

+ Add

TheySaid 3.0 Review โ€“ AI Customer Feedback Analysis & Voice-of-Customer Platform (2025)

More videos:

  • Review - Customer Survey Tool product review | Theysaid AI

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Theysaid and assertpy)

Theysaid

assertpy

Customer Feedback
100 100%
Customer Feedback
0% 0
Testing
0 0%
Testing
100% 100
AI
100 100%
AI
0% 0
Python
0 0%
Python
100% 100

Questions & Answers

As answered by people managing Theysaid and assertpy.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

Theysaid's answer

Most survey tools stop at collecting answers, giving leaders surface-level data thatโ€™s hard to act on. TheySaid turns feedback into real conversations with smart follow-ups, capturing the why behind customer behavior. This means revenue leaders donโ€™t 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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

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.

User comments

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What are some alternatives?

When comparing Theysaid and assertpy, you can also consider the following products

Dovetail - Mobile Cloud-Based Dental Software

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

Survicate - Collect feedback on your website and find out more about your visitors.

Sprig - Delivering locally-sourced, seasonal, sustainable lunches and dinners.

Betafi - Your User Research Sidekick

Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!

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