Spatial
4.77
0
Spatial revolutionizes customer discovery with AI-powered, context-aware interviews and real-time feedback analysis for actionable insights.
What is Spatial?
Spatial is an AI-powered platform that revolutionizes customer discovery and user research by providing tools for dynamic, context-aware interviews and surveys, analyzing customer feedback, and delivering actionable insights for data-driven decisions. It utilizes advanced machine learning models to understand user thoughts, feelings, and motivations by analyzing patterns in customer feedback in real-time. Spatial offers integrations with various tools like Amplitude, Segment, Mixpanel, Slack, Zapier, and Braze to enhance the understanding of key metrics and market trends.
Who created Spatial?
Spatial was created by Carl Cortright and Daniel Avnieli who are the co-founders of the company. It was launched on June 20, 2024, by CTI API Inc. (DBA Spatial), aiming to revolutionize product intelligence through AI-enhanced conversations.
What is Spatial used for?
- Conducting smart surveys and interviews
- Providing immediate insights with real-time data analysis
- Identifying trends and patterns in customer feedback
- Monitoring shifts in key market indicators
- Delivering actionable market intelligence for strategic decision-making
- Creating context-aware interviews that adapt based on responses
- Analyzing patterns and trends in customer feedback with advanced machine learning models
- Supporting seamless integration with tools like Amplitude, Segment, and Mixpanel
- Uploading key questions for interactive interviews
- Providing real-time feedback analysis and insights
- Faster data-driven decisions
- In-depth customer interviews
- Adaptive surveys
- Machine learning model usage
- Advanced analytics feature
- Streamlined feedback management
- Automated workflows with Zapier
- Unified data management with Segment
- Enhanced customer engagement with Braze
- Deeper user insights with Mixpanel
Who is Spatial for?
- Market Researchers
- Data Analysts
- Customer Experience Managers
- Product Managers
- Customer Experience Analysts
- User researchers
How to use Spatial?
To effectively use Spatial, follow this comprehensive guide:
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Dynamic Customer Discovery:
- Conduct dynamic and context-aware interviews and surveys tailored to your key questions.
- Utilize advanced machine learning models to analyze customer feedback for valuable insights.
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Data-Informed Decisions:
- Conduct smart interviews and surveys for immediate insights and a deeper understanding of your market.
- Identify trends, patterns, and shifts in key market indicators with Spatial's analytical capabilities.
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Interviews and Surveys:
- Create context-aware interviews that adapt based on respondent's responses for personalized experiences and deeper insights.
- Upload or type key questions for interactive interviews that adjust to respondent's answers.
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Understand Users’ Thoughts and Feelings:
- Analyze customer feedback patterns to uncover underlying trends, motivations, and thoughts.
- Gain detailed insights into customer experiences and preferences through AI-powered analyses.
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Machine Learning Benefits:
- Stay ahead of the curve by identifying changes in market indicators with Spatial's machine learning models.
- Receive real-time data analysis for immediate insights crucial for business decisions.
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Market Understanding:
- Gain in-depth insights into your market through dynamic interviews, feedback analysis, and trend identification.
- Track changes in key market indicators for actionable intelligence in strategic decision-making.
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Integration and Usability:
- Seamlessly integrate with various tools like Amplitude, Mixpanel, and Slack for enhanced functionality.
- Conduct usability testing, embed product demos, and utilize HTTP API for custom applications.
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Customer Engagement:
- Collect insights based on customer actions, facilitate customer discovery, and fast-track validation with embedded demos.
- Drive understanding and growth with actionable intelligence delivered by Spatial.
Remember to explore further functionalities, read the terms of different subscription plans (Free, Pro, Enterprise), and make the most of Spatial’s features for optimum results.
Pros
- Extended usability testing capabilities
- Facilitates customer-centric product development
- Unearth underlying market trends
- Embedded demos for instant feedback
- Supports real-time updates with Webhooks
- Supports HTTP API integration
- Automatic insight collection
- Embed product demos within surveys
- Interactive surveys with respondents
- Dynamic interviews and surveys
Cons
- Limited personalization of interviews
- No Offline Capability
- Limited interviewer styles
- Integrations are 'Coming Soon'
- No built-in CRM
- Advanced Analytics are new
Spatial FAQs
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What is Spatial?
- Spatial is an AI-powered platform designed to facilitate customer discovery and user research. It provides tools for conducting dynamic, context-aware interviews and surveys, analyzing customer feedback, and delivering actionable insights for data-driven decisions. Spatial also offers integrations with other tools to facilitate a seamless workflow and enhance the understanding of key metrics.
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How does Spatial's AI technology work?
- Spatial leverages AI and advanced machine learning models to provide deep insights. It works by conducting dynamic and context-aware interviews and surveys that adapt to respondents' responses, enabling a more in-depth exploration of customer experiences. It also uses machine learning to analyze patterns in customer feedback, helping identify underlying trends and changes in key market indicators.
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Can Spatial facilitate context-aware interviews?
- Yes, Spatial can facilitate context-aware interviews. These interviews are designed to adapt based on the respondent's responses, delivering dynamic, personalized experiences for users and collecting more relevant insights.
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How does Spatial help understand users' thoughts and feelings?
- Spatial helps to understand users' thoughts and feelings through its context-aware interviews and surveys. Using AI and advanced machine learning models, it analyzes patterns in customer feedback to uncover underlying trends, motivations, and thoughts, providing a more detailed understanding of customer experiences and opinions.
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Can I use Spatial to conduct interactive surveys?
- Yes, you can use Spatial to conduct interactive surveys. These surveys can adapt based on respondent's answers to ensure the capture of the most relevant insights.
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Can Spatial analyze patterns in research data in real-time?
- Yes, Spatial can analyze patterns in research data in real-time. It uses machine learning models to understand why key market indicators change, providing users with immediate insights to help understand their market better and faster.
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Can I use Spatial for embedding product demos within surveys?
- Yes, Spatial offers the capability to integrate product demos within its surveys. This unique feature allows users to experience and provide feedback on a product in one single place, reducing the feedback loop and enhancing the user journey.
Get started with Spatial
Spatial reviews
Fatima Suleiman
February 28, 2025
What do you like most about using Spatial?
The AI's ability to provide context-aware insights is unmatched. It really helps me understand the why behind customer feedback.
What do you dislike most about using Spatial?
The platform could use more user-friendly tutorials for beginners.
What problems does Spatial help you solve, and how does this benefit you?
Spatial has transformed our approach to customer discovery, leading to more successful product iterations and a stronger market presence.
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Jin Wang
January 17, 2025
What do you like most about using Spatial?
The platform's ability to analyze context in customer conversations is outstanding. It sets a new standard in user research.
What do you dislike most about using Spatial?
It requires a good internet connection, which can be a limiting factor in some regions.
What problems does Spatial help you solve, and how does this benefit you?
Spatial aids in identifying and addressing customer pain points effectively, leading to better product alignment with market needs.
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Niamh O'Sullivan
January 28, 2025
What do you like most about using Spatial?
The AI's analytical capabilities are impressive, providing insights that inform our entire product strategy.
What do you dislike most about using Spatial?
The setup process can be a bit lengthy, but worth it for the results you get.
What problems does Spatial help you solve, and how does this benefit you?
Spatial allows us to gather deep insights into customer preferences, which has greatly improved our marketing efforts.
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