Sprig is a powerful and focused tool in the realm of analytics, weaving in AI analysis into its strong suits of heatmaps, session replays, surveys, and feedback forms. Its interface is easy to master and allows users to view and manage multiple product oriented analyses at once with its strong dashboards coupled with natural language processing of suggested workflows. Sprig omits the broader analytics software features and instead focuses on features aimed at helping product and UX teams understand user behaviour and query further into user rationale.
Expert review
Stackfix's Rating
6.6 / 10
Last updated on
Reviewed by Camin McCluskey
Stackfix Co-Founder & CTO
Key findings
Feature available
Pros
Outstanding In-App Survey Capabilities
Intuitive Real-Time Dashboard Experience
High-Quality Session Replay Analysis
Streamlined Setup Process
User-Friendly Interface with AI Integration
Feature unavailable
Cons
Poor Customer Support Accessibility
Limited Core Functionality
We found Sprig's core functionality to be limited for a product analytics tool. It lacks comprehensive event-driven analytics capabilities, making it unsuitable for teams needing deep quantitative analysis of aggregated data across pages.
Basic Export Capabilities
Slight Delay in Implementation
In our testing, it would take between 5-12 minutes for new analytics tools to go live. For example, it took at least 12 minutes for a heatmap function to go live on our main homepage. It took longer still for enough data to accrue to begin to gain insight.
This might be an issue for less technical users who may be confused with the wait time and for those that need a quick turnaround time and immediate validation of working features.
Sprig is best for
- Businesses with UX teams seeking deep behavioral insights through AI-powered surveys and session replays
- Businesses with product and UX teams focused on understanding qualitative user behavior
- Who need to combine in-app surveys with visual analytics like heatmaps and session replays
- And/or who need AI-assisted analysis to quickly generate insights from user behavior data
Sprig is less good for
- Businesses needing comprehensive event-driven analytics and quantitative data analysis
- Businesses with heavy server-side tracking requirements
- Who need advanced cohort analysis and user segmentation capabilities
- And/or who need comprehensive user journey mapping and UTM tracking
Gallery

Sprig's Functionality of Automatically Capturing raw events, prompting review of new raw events, and view within the events tab.
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