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Side-by-side record

Luna AI vs. Sprig

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Sprig starts at Free per seat, versus Luna AI at $39.

Full comparison

Luna AIfrom $39 per maker/month (annual billing; $49 billed monthly)
Sprigfrom Free
Audyense Score65ASFair30AS*Low
PositioningAI Program Manager that turns Jira and Slack activity into goal, risk, and ROI visibility for product and engineering leadersContinuous product research with AI-assisted studies
Free tierYesYes
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-market, EnterpriseSMB, Mid-market, Enterprise
Pricing plans
  • FreeFree
  • Launch$39
  • EnterpriseCustom pricing
  • FreeFree
  • StarterCustom pricing
  • EnterpriseCustom pricing
Whiteboarding & diagrammingNoNot a design tool; no whiteboarding canvas offered—
Design systems / component librariesNoNo design-system tooling; product is focused on PM reporting—
PrototypingNoNo prototyping capability; outputs are text/roadmap artifacts—
Public APINoNo public developer API/docs found; only CSV/Sheets/Excel export—
Real-time collaborationPartialMultiple makers share/edit roadmaps and sync comments via Slack, but no confirmed live co-editing/cursors—
AI featuresYesCore product: AI-generated OKRs, roadmaps, Jira/sprint summaries, risk detection, stakeholder updates—
Product roadmappingYesCentral feature: AI-generated roadmaps with capacity planning, multiple views, cost/ROI tracking—
Templates libraryYesFree tier includes 3 custom templates; paid Launch tier adds unlimited custom templates plus public template access—
Version historyNoNo version-history feature advertised—
Mobile appNoNo iOS/Android app found; web-based product only—
Research governance—YesProvides access and privacy controls for teams.
In-product research—YesCollects feedback in product experiences.
Prototype testing—YesTests concepts and product prototypes.
Heatmaps—YesShows interaction patterns in supported studies.
Survey design—YesBuilds structured customer and market studies.
Session replay—YesAdds behavioral context to research findings.
Participant reach—YesSupports link, email, web, and mobile distribution.
AI synthesis—YesSummarizes and themes research responses.
Integrations verified11+—
Aggregate rating4.9 · 42 reviews— · No reviews yet
Integrations
JiraSlackAsanaClickUpGmailOutlook+5 more
FigmaFigJamSlackMicrosoft TeamsGoogle WorkspaceSalesforce+7 more
Security & compliance—
GDPRCCPA
Pros
  • Two-way Jira/Slack sync keeps status updates current with minimal manual copy-pasting
  • Turns messy Jira sprint data into clear progress, risk, and recommendation summaries in one click
  • Customizable, shareable roadmap views make stakeholder alignment easier
  • Saves reported hours per week previously spent compiling manual status reports
  • Broad study formats
  • AI-assisted synthesis
  • Free evaluation path
  • Enterprise research governance
Cons
  • Noticeable learning curve — reviewers describe it as cumbersome until you're familiar with the tool
  • Some users feel price is high relative to the number of makers/credits included at each tier
  • Feature gaps reported around deeper OKR health scoring and tighter linkage of reports to company-level goals
  • Value drops sharply for teams that don't use both Jira and Slack
  • Enterprise pricing scales with responses and capabilities
  • Research quality still depends on study design
  • Some integrations require paid plans
  • May be more platform than occasional researchers need
Visit Luna AI ↗Visit Sprig ↗