Sprig

What is Sprig

Sprig is a modern user research platform designed for product and UX teams to gather quick and relevant insights from their users. Its main function is to allow companies to run targeted, in-product surveys and analyze the feedback using Artificial Intelligence. The core purpose of Sprig is to close the gap between product teams and their customers, enabling data-backed decisions without long research cycles. The platform helps teams understand user behavior, validate design ideas, and prioritize roadmap features by capturing real-time feedback. Sprig was founded in 2019 by Ryan Glasgow and is headquartered in San Francisco, California, with the mission to make user research faster and more accessible for modern software companies.

Sprig Features

Sprig offers a suite of features focused on capturing and analyzing user feedback efficiently.

• In-Product Surveys: Launch targeted micro-surveys directly within your web or mobile application. This allows you to ask the right questions to the right users at the most relevant moment in their journey.
• AI Analysis: Sprig's AI automatically analyzes open-text feedback from surveys, clustering responses into themes and identifying key insights. This saves researchers hours of manual data analysis.
• Video Questions: Capture qualitative feedback by allowing users to record short video responses to your survey questions, providing deeper context and emotional nuance.
• Event-Based Targeting: Trigger surveys based on specific actions a user takes in your product, such as completing a purchase, using a new feature, or visiting a certain page.
• Templates: Use a library of pre-built survey templates designed by research experts for common use cases like feature validation, onboarding feedback, and churn analysis.
• Digital Behavior Linking: Connect survey responses directly to user behavior data. The platform can help identify friction points by showing what users were doing right before they gave their feedback.
• Integrations: Connect Sprig with other tools in your stack, such as Segment, Figma, Slack, and Jira, to streamline workflows and share insights across your organization.

Sprig Pricing Plans

Sprig offers several pricing tiers designed to meet the needs of different organizations. While specific pricing is not publicly listed, the plans are structured as follows:

• Free Plan: Aimed at individuals or small teams just starting with user research. It includes basic features but has limitations on the number of active studies and monthly responses.
• Starter Plan: Designed for growing teams that need more capacity and advanced features. This plan typically offers more monthly responses, more survey types, and additional integrations.
• Enterprise Plan: A custom plan for large organizations with complex needs. It includes everything in the Starter plan plus advanced security features, dedicated support, team collaboration tools, and unlimited usage.

Sprig Free Plan

Yes, Sprig offers a Free Plan. This plan is a good starting point for individuals and small teams to explore the platform's core functionalities. The Free Plan typically includes the ability to run a limited number of in-product surveys, access to AI analysis for open-text responses, and basic targeting options. Limitations usually apply to the number of monthly responses you can collect and the number of active surveys you can have at one time. For teams needing more capacity or advanced features, Sprig offers paid plans and often provides a free trial for those tiers.

How to use Sprig

Getting started with Sprig is a straightforward process designed for quick implementation.

1. Installation: First, you need to install the Sprig SDK in your web or mobile application. This can be done directly with a code snippet or through integrations like Google Tag Manager or Segment. This is usually a one-time setup.
2. Create a Study: Log in to your Sprig dashboard and create a new study. You can start from a pre-built template or build a survey from scratch using various question types (e.g., multiple choice, open text, video).
3. Define Your Audience: Use Sprig's targeting options to define which users should receive the survey. You can target users based on their attributes (e.g., user role, subscription plan) or events they perform (e.g., clicked a specific button).
4. Launch the Survey: Once your questions and targeting are set, launch the survey. Sprig will begin showing it to users who meet your criteria directly within your product.
5. Analyze Results: As responses come in, Sprig's AI will automatically analyze the feedback. You can view themed clusters of open-text answers, watch video responses, and see quantitative data in the results dashboard.
6. Share Insights: Share the findings with your team by exporting the data or using integrations to send insights to tools like Slack or Jira.

Pros and Cons of Sprig

Pros:

• Speed to Insight: The platform's primary strength is its ability to deliver user feedback very quickly, often within hours of launching a study.
• AI-Powered Analysis: The AI features significantly reduce the time spent on manual analysis of qualitative feedback, making it easier to find actionable insights.
• Contextual Feedback: In-product surveys provide highly relevant feedback because users are asked about their experience while they are having it.
• Easy to Use: The interface is intuitive, allowing non-researchers like product managers and designers to launch studies without extensive training.

Cons:

• Cost: The pricing for higher-tier plans can be a significant investment, potentially making it less accessible for smaller startups.
• Limited Scope: Sprig is highly specialized for in-product and short-form surveys. It may not be the best tool for long-form, traditional market research or moderated usability testing.
• Dependency on Existing Users: The primary method of recruitment is through your own product, so it is not ideal for gathering feedback from potential users or those who have already churned.

Sprig integrations

Sprig integrates with a variety of popular tools to help teams embed user insights into their existing workflows. Key integrations include:

• Segment, Google Tag Manager, mParticle: These integrations simplify the installation and allow you to send user events and attributes to Sprig for precise targeting.
• Slack: Receive real-time notifications for new survey responses and share insights directly with your team channels.
• Jira: Create Jira tickets directly from Sprig insights to turn user feedback into actionable development tasks.
• Figma & Adobe XD: View relevant user insights directly within your design files to inform your design process.
• Snowflake, BigQuery, Redshift: Export raw survey data to your data warehouse for deeper, custom analysis.
• Dovetail & EnjoyHQ: Send survey responses to your research repository to centralize all your user feedback.

Sprig Alternatives

• UserTesting: A platform focused on video-based human insight. It is better for moderated and unmoderated usability tests where you need to see and hear users interact with your product or prototype.
• Hotjar: Combines user feedback tools (like polls and surveys) with behavior analytics tools (like heatmaps and session recordings). It's a great alternative if you want to see what users do in addition to what they say.
• Qualtrics: An enterprise-grade experience management platform that is much broader than Sprig. It is suitable for large-scale market research, brand tracking, and employee experience, but can be more complex and expensive.
• SurveyMonkey: A versatile and widely-used tool for creating general-purpose surveys. While it can be used for user feedback, it lacks the in-product targeting and AI analysis features specific to UX research that Sprig offers.

Sprig API

Yes, Sprig provides a public API that allows developers to programmatically access and manage their research data. The API can be used to export survey responses, view study results, and integrate Sprig data into other internal tools or custom dashboards.

To use the API, you need to generate an API key from your Sprig account settings, typically under an 'Integrations' or 'Developer' section. This key must be included in the header of your API requests for authentication.

Here is a basic example of how to fetch survey responses using a cURL command:

curl --request GET \
     --url 'https://api.sprig.com/v1/studies/{study_id}/responses' \
     --header 'Authorization: Bearer YOUR_API_KEY' \
     --header 'accept: application/json'

For detailed documentation, including all available endpoints and parameters, you should visit the official Sprig developer portal on their website.

Sprig Affiliate program

Based on available information, Sprig does not appear to have a public affiliate or referral program where individuals can earn commissions for referring new customers. These programs are more common for B2C or self-serve B2B products. As an enterprise-focused platform, Sprig's sales process is typically more direct. However, they may have a partner program for agencies or consultants. If you are interested in partnership opportunities, it is best to contact their sales or partnerships team directly through their official website to inquire about potential collaborations.