What Sprig does
Sprig is an AI-native research platform for surveys, in-product feedback, session replay, heatmaps, prototype tests, participant reach, and evidence-backed synthesis.
Sprig positions itself as an enterprise survey and research platform powered by Design, Field, and Synthesize Agents. Teams can plan studies, run long-form or in-product surveys, collect feedback through web, mobile, email, or links, test concepts and prototypes, and combine stated feedback with behavioral tools such as session replay and heatmaps. AI assists study construction, participant questioning, analysis, and organizational synthesis.
Individuals and small teams can use Free or Starter options with usage limits, while enterprise pricing scales with total response volume, activated research capabilities, deployment environments, onboarding, and support. The public page does not display a universal Starter dollar amount, so buyers should verify response allowances, AI analysis, voice and video, prototype tests, web and mobile SDKs, seats, workspaces, governance, overages, historical data, retention, and renewal terms.
Adaptive fielding can collect richer evidence while also changing the question each participant receives. Targeting rules may exclude less active users, in-product prompts can overrepresent survivors, replay and video can capture sensitive data, and synthesis agents may turn frequent themes into confident recommendations. Obtain valid consent for each modality, mask PII, minimize session capture, audit participant eligibility, retain question lineage, compare response and exposure rates, trace claims to evidence, seek disconfirming research, and have qualified researchers validate any product action.
How Sprig works
Sprig's Design Agent turns a goal, brief, questionnaire, or document into a study. The Field Agent reaches selected participants through link, email, web, or mobile experiences and can adapt questions, while product tools can capture feedback, replays, heatmaps, voice, or video. The Synthesize Agent organizes responses into evidence-linked themes, reports, and recommendations that researchers review.
Turn a protocol into a study
The Design Agent uses goals, briefs, questionnaires, or documents to propose research. Qualified researchers retain control of constructs, sampling, consent, adaptive logic, question lineage, accessibility, and decision criteria.
Reach eligible participants across channels
The Field Agent delivers link, email, web, or mobile studies and can adapt questions; product tools collect feedback and behavior. Targeting, exposure, response, abandonment, replay masking, and opt-outs are audited by segment.
Trace themes back to evidence
The Synthesize Agent groups responses into themes, reports, and recommendations. Reviewers open supporting records, examine base sizes, contradictory and minority views, framing effects, missing populations, and differences between stated and observed behavior.
Test product decisions before rollout
Researchers triangulate AI findings with interviews, behavioral measures, or experiments, disclose limitations, protect retained PII, and record accountable human approval and outcome monitoring before broad product change.
How to set up Sprig
Create the research protocol
Define the decision, target population, recruitment and exclusion rules, method, consent per modality, PII masking, incentives, sample targets, reviewers, and validation criteria.
Configure governance and collection
Set teams, roles, environments, domains or SDKs, retention, replay masking, approved metadata, identity handling, opt-outs, and data access before activating a study.
Draft with the Design Agent
Provide the goal and constraints, then have a researcher review constructs, wording, logic, answer options, accessibility, adaptive behavior, and alignment to the protocol.
Field a representative pilot
Test web, mobile, email, or link delivery with eligible participants; measure exposure, response, abandonment, follow-up behavior, technical errors, and coverage by segment.
Audit synthesis and validate action
Trace themes and recommendations to responses, inspect minority and contradictory evidence, assess sample limitations, triangulate with behavior or interviews, and record human sign-off.
Sprig FAQs
How much does Sprig cost?
Sprig lists Free and Starter options with usage limits. Enterprise pricing depends on response volume, activated capabilities, deployment environments, onboarding, and support.
What are Sprig's AI agents?
Official materials describe Design, Field, and Synthesize Agents for constructing studies, reaching and adapting to participants, and producing evidence-backed themes and reports.
Can Sprig collect in-product feedback?
Yes. Sprig supports in-product and long-form surveys plus web, mobile, email, and link reach; available modalities and limits depend on the activated plan.
Does adaptive research guarantee unbiased answers?
No. Personalized questions can introduce different framing, while targeting and product access shape who is sampled. Preserve question lineage and compare segments and nonresponse.
Should teams act directly on an AI recommendation?
No. Researchers should inspect supporting responses, contrary and minority evidence, sample coverage, and behavioral or follow-up validation before product decisions.
Listing reviewed 2026-07-15. Product details and pricing can change; verify important terms on the provider's website.
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