Hex
Hex provides a cloud-based, AI-augmented analytics and collaborative notebook platform that lets data teams and business users analyze data using SQL, Python, R, and no-code components, publish interactive internal data apps, and govern shared metrics across an organization's cloud data stack.
16 live briefs
Reconstruct defensible published-app decision history
A partial evidence trail can block regulated expansion and leave customers with manual reconstruction work. A defensible history must be useful under scrutiny, not merely recorded
Recover usable app states from stale links
A broken saved link interrupts a decision moment that should take seconds. A reliable fallback protects recurring reader habits
Prioritize recurring decisions for notebook-to-app publishing
A clear product thesis could focus investment on where publishing changes how teams make decisions. The wrong thesis would amplify activity without increasing durable value
Accelerate authorized app discovery after provisioning
Provisioned readers who never reach an authorized app represent unrealized value and preventable admin work. The opportunity is to make governed access understandable at the moment it matters
Optimize app SQL to lower bytes scanned
Inefficient generated SQL makes interactive apps expensive to operate. The right improvement must reduce scans without narrowing useful questions
Verify sensitive-data detection before cross-workspace sharing
The detection system could unlock governed collaboration or create an unmanageable review burden. The deployment choice is costly to reverse once contractual commitments are made
Identify reliability signals for durable published apps
The team has several plausible reliability investments but little proof of which one drives durable usage. A reversible learning plan can prevent a year of work on the wrong signal
Prevent timezone errors in assistant-generated notebook charts
A plausible chart can still move an operations team in the wrong direction. Better detection reduces correction work before reports spread
Formulate an alliance thesis for operational adoption
Several alliance ideas look credible, but pursuing all of them would dilute learning. The right test can reveal where partner leverage actually changes customer adoption
Advance validated co-sells into procurement
The partner channel is generating technical interest but not commercial movement. A usable joint path can convert active evaluations before the quarter closes
Activate named viewers before the value review
A low-usage start can turn a signed deployment into a narrow analyst seat. A focused recovery can establish the evidence needed for expansion
Secure a three-party deal with single accountability
A $3.8M enterprise agreement depends on resolving genuinely conflicting views of accountability. The submitted structure will be difficult to unwind once procurement accepts it
Fix first-open charts after republishing apps
A small publish-path defect is disrupting high-frequency operational reporting. A reliable first view restores confidence immediately
Test shared-iteration alternatives to notebook forking
The same telemetry can point to several different problems. A disciplined experiment can reveal which change actually preserves shared momentum
Stabilize scheduled exports for large chart-heavy reports
The data is ready, but the delivered report is not. Improving the execution path protects recurring decision workflows
Ensure region-pinned notebook execution through failover
The launch path is set, but correctness is costly to prove. A routing mistake threatens both collaboration continuity and regulated customer trust