Finally see the questions your customers are asking, across every channel.
What was asked. What failed. What got combined. Today that signal is scattered across every platform you sell through, or missing entirely. We unify it into one view of how your data actually gets used.
The near future
You can see exactly how every customer uses your data.
Downloads and API calls show volume, not intent. A unified view captures what customers ask, where queries fail, and which datasets get combined, then gives you one view of usage per customer, per dataset, per attribute.
What it takes to support that
- Natural-language question and business-problem capture
- Failed-query and unmet-demand instrumentation
- Visibility into dataset combinations and coverage gaps
- One reconciled view across Snowflake, Databricks and BigQuery
- Per-customer, per-dataset engagement and adoption trends
Cross-platform telemetry
One product signal, every channel
Unified usage model
Volume becomes intent
The practice
Product analytics for data products.
One reconciled view of consumption across every platform you sell through.
Unified Observability
- Capture the natural-language questions customers ask
- Identify failed queries and unmet demand
- Observe which datasets are frequently combined
- Detect missing attributes and coverage gaps
- One usage number across Snowflake, Databricks and BigQuery
Actionable Insight
- Spot accounts whose usage is declining before renewal
- Surface expansion signals when customers hit entitlement limits
- Track adoption after every dataset launch
- Segment usage by account, industry or use case
- Quantify which datasets actually drive retention
Success looks like
Visibility
You know exactly who uses which datasets, how often, and what they can't get.
Retention
Declining usage and expansion signals surface before renewal, not after.
How we work
Benchmark it. Spec it. Build it.
We start with a short, scoped benchmark of this practice: where you stand, against whom, and what to build first. You own everything we produce, with us or without us.
Benchmark
- Inventory the usage signal from every channel
- Test whether the cross-platform numbers reconcile
- Find the questions about your customers you can't answer
Spec
- Define one event model across every platform
- Map questions, failures, combinations and coverage gaps
- Define the metrics, segments and dashboards you need
Build
- Instrument successful and failed interactions
- Unify Snowflake, Databricks and BigQuery telemetry
- Deliver dashboards your teams actually use
Manage
- Watch demand and coverage gaps shift over time
- Track engagement and adoption per account
- Surface churn risk and expansion signals early
The usage analytics benchmark
Find out what your customers are already telling you.
We trace the signals you already collect across every delivery channel, test whether they reconcile into one trusted view, and show you which questions about your customers you can't yet answer. You keep the maturity score, the instrumentation gap map, and the ranked build list.
Request the benchmark