Sarah Chen

Would love to see attribution modeling. Currently using a separate tool for this which creates data silos.

Our B2B sales cycles are long. We need to understand which touchpoints influence purchase decisions over 6-12 month cycles.

Our operations team needs real-time visibility into shipment status. Currently they're refreshing dashboards every 30 seconds manually.

We use Ping Identity which wasn't supported. This was blocking our security compliance. Glad it shipped!

We're evaluating and need to confirm SSO works with our OneLogin setup before proceeding.

We're migrating to a new data warehouse next quarter. Native integration would save us from maintaining a separate ETL pipeline.

Data warehouse integration is a requirement for our POC. We won't replicate data to another system.

Would help us understand repeat booking patterns over time.

Production managers need daily reports. Scheduled delivery saves them time.

Compliance requires automated daily reports to regulators. Email delivery was a compliance requirement.

Physicians want to ask questions about patient outcomes. They can't learn SQL. AI interface is the only way.

We need to calculate custom SaaS metrics like NDR and magic number. Currently exporting to Excel.

We need alerts when transaction volumes deviate from normal patterns. Critical for fraud detection.

Anomaly detection for inventory levels would be helpful but not urgent.

Regulatory requirement: users should only see data for accounts they manage. Row-level security is mandatory.

We have multiple brands that should not see each other's data. Row-level security is a deal requirement.

We're adopting dbt for our data transformations. Would be great to see dbt models directly in dashboards.

Store managers occasionally check dashboards on their phones. Would be a nice quality of life improvement.

CRM is our source of truth for customer data. Integration was critical for us.

Some of our compliance queries take 10+ minutes. AI suggestions for optimization would help our team.

We want to embed analytics in our product for our customers. Embedded SDK is essential for our business model.

We want to provide advertisers with campaign analytics embedded in their portal. This could unlock new revenue.

Multi-touch attribution modelingOpen

Support for first-touch, last-touch, linear, time-decay, and data-driven attribution models across all marketing channels. Essential for understanding true ROI of marketing spend.

Natural language query interfaceOpen

Allow users to ask questions in plain English and get visualized answers. AI should understand business context and suggest relevant metrics.

Row-level security policiesOpen

Define row-level security policies to restrict data access based on user attributes. Critical for multi-tenant deployments and regulatory compliance.

Query performance optimization suggestionsOpen

AI-powered suggestions for optimizing slow queries. Should analyze query patterns and recommend indexes, materializations, or query rewrites.

SAML SSO with custom IdP supportShipped

Support for SAML 2.0 SSO with custom identity providers beyond Okta and Azure AD. Many enterprise customers use on-premise or specialized IdPs.