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Basedash Tasks

4h ago

Basedash is an AI‑native business intelligence platform for teams that want trusted answers, dashboards, and reporting workflows without heavy BI setup. It lets business users self‑serve by defining metrics, automatically generating custom dashboards, and delivering instant answers with underlying SQL visible for transparency.

AI‑generated custom dashboardsMetric‑driven self‑service analyticsReal‑time KPI monitoring and anomaly detectionCohort and retention analysisError and usage monitoring for engineeringSales and marketing funnel analyticsOperations usage reporting
PricingNot available yet
Last Updated4h ago
SourcesProduct HuntWeb
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Key Capabilities
01
AI‑generated custom dashboards
Describe what you want to track and Basedash creates a tailored dashboard in minutes, showing core growth KPIs and other metrics.
02
Metric‑driven self‑service analytics
Users define governed metric definitions and receive answers with the underlying SQL, enabling non‑technical staff to query data without data‑team assistance.
03
Real‑time KPI monitoring and anomaly detection
Trend key performance indicators over time, flag abnormal spikes, and provide instant insights for faster decision‑making.
04
Cohort and retention analysis
Analyze cohort retention, week‑8 retention, and identify magic moments that predict long‑term engagement.
05
Error and usage monitoring for engineering
Fetch IDs, monitor SDK or app version error rates, and surface services or endpoints with highest error rates weekly.
06
Sales and marketing funnel analytics
Calculate CAC, blended cost per lead, pipeline performance by geography, and highlight churn risks or stuck opportunities.
07
Operations usage reporting
Filter paid organizations, show current usage details, and track ticket trends by category and resolution time.
Use Cases
Marketing ROI analysisIdentify top‑performing geographies, calculate CAC and blended cost per lead, and monitor campaign delivery errors.Marketing teams seeking data‑driven insights into campaign performance and acquisition costs.
Engineering debugging and reliabilityFetch IDs created per month, monitor error‑prone SDK versions, and detect services with highest error rates to improve product stability.Engineering teams needing quick access to operational metrics and error monitoring.
Product retention and engagementAnalyze cohort retention, discover magic moments predicting long‑term engagement, and track feature usage spikes.Product managers aiming to improve user retention and feature adoption.
Sales churn risk identificationSpot accounts at risk of churn, prioritize high‑engagement prospects, and uncover stuck opportunities in the sales pipeline.Sales leaders looking to reduce churn and accelerate deal velocity.
Operations usage and support monitoringGenerate usage reports for paid organizations, monitor ticket trends, and identify customers encountering increased bugs.Operations teams managing customer usage, support tickets, and service health.
Update History
Updated 4h ago▲ 0% mentionsProduct HuntWeb