Registro lado a lado

Luna AI vs. Sprig

Elaborado a partir del registro investigado y revisado de cada herramienta. Las cifras se contrastan con las páginas públicas de precios en el momento de la investigación — confirma siempre el precio actual con el proveedor antes de comprar.

La versión corta

Sprig parte de Free por usuario, frente a Luna AI con $39.

Comparación completa

	Luna AIdesde $39 per maker/month (annual billing; $49 billed monthly)	Sprigdesde Free
Audyense Score	65ASAceptable	30AS*Bajo
Posicionamiento	AI Program Manager that turns Jira and Slack activity into goal, risk, and ROI visibility for product and engineering leaders	Continuous product research with AI-assisted studies
Plan gratuito	Sí	Sí
Implementación	Nube / SaaS	Nube / SaaS
Mejor encaje	Startup, PYME, Mediana empresa, Empresa	PYME, Mediana empresa, Empresa
Planes de precio	FreeFree Launch$39 EnterpriseCustom pricing	FreeFree StarterCustom pricing EnterpriseCustom pricing
Whiteboarding & diagramming	NoNot a design tool; no whiteboarding canvas offered	—
Design systems / component libraries	NoNo design-system tooling; product is focused on PM reporting	—
Prototyping	NoNo prototyping capability; outputs are text/roadmap artifacts	—
Public API	NoNo public developer API/docs found; only CSV/Sheets/Excel export	—
Real-time collaboration	ParcialMultiple makers share/edit roadmaps and sync comments via Slack, but no confirmed live co-editing/cursors	—
AI features	SíCore product: AI-generated OKRs, roadmaps, Jira/sprint summaries, risk detection, stakeholder updates	—
Product roadmapping	SíCentral feature: AI-generated roadmaps with capacity planning, multiple views, cost/ROI tracking	—
Templates library	SíFree tier includes 3 custom templates; paid Launch tier adds unlimited custom templates plus public template access	—
Version history	NoNo version-history feature advertised	—
Mobile app	NoNo iOS/Android app found; web-based product only	—
Research governance	—	SíProvides access and privacy controls for teams.
In-product research	—	SíCollects feedback in product experiences.
Prototype testing	—	SíTests concepts and product prototypes.
Heatmaps	—	SíShows interaction patterns in supported studies.
Survey design	—	SíBuilds structured customer and market studies.
Session replay	—	SíAdds behavioral context to research findings.
Participant reach	—	SíSupports link, email, web, and mobile distribution.
AI synthesis	—	SíSummarizes and themes research responses.
Integraciones verificadas	11+	—
Valoración agregada	4.9 · 42 reviews	— · No reviews yet
Integraciones	JiraSlackAsanaClickUpGmailOutlook+5 más	FigmaFigJamSlackMicrosoft TeamsGoogle WorkspaceSalesforce+7 más
Seguridad y cumplimiento	—	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
Contras	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
	Visitar Luna AI ↗	Visitar Sprig ↗