The evidence lives in ten places.
Tickets, calls, dashboards, code, documents and operator knowledge each hold part of the answer.
Start with the problem
For the past three months, customers have kept calling back about the same issues and our ticket backlog is growing. Find where the process is breaking.Tell us what changed · when you noticed it · what a good outcome looks like
Polaris pulls the evidence together, benchmarks top performers, and tests the fix before your team commits to a rollout.
4,000 customers had already confirmed resolution, but the tickets never reached the close action. The team was improving card selection while the backlog grew one step later.
of CX leaders say customers will leave after an unresolved first contact.
THE GAP: confirmed resolution still fails to become a closed ticketSTART WITH THE PROBLEM ON YOUR DESK
Tell us what changed, when it started and what outcome matters. Polaris will ask for the evidence it needs.
The dashboard shows the miss. The meeting produces five theories. Your team still needs one decision: what is actually broken, and which move will fix it?
Tickets, calls, dashboards, code, documents and operator knowledge each hold part of the answer.
Sales points to the product. Product points to traffic. Operations points to process. Nobody has proved it.
Months of implementation can pass before the company learns that it changed the wrong part of the system.
Polaris measures your current state, researches top performers and leading technical approaches, then tests the move most likely to close the gap in your business.
A root cause tied to revenue, cost, speed or customer experience—not a list of possibilities.
Sourced examples, leading methods and public benchmarks that make the performance gap concrete.
Options ranked by expected impact, cost, time and risk, with one clear first move.
A recalculation, replay, simulation or small prototype that tests the decision before full implementation.
Bring Polaris any high-value problem with evidence to investigate and an outcome worth improving.
Separate lead quality, rep follow-up, pricing and deal-stage friction, then test the first move.
Diagnose this problem ↗Trace the failure across tickets, calls and policy, then benchmark top service operations.
Diagnose this problem ↗Rebuild demand, replenishment and transfer decisions, then replay better policies on history.
Diagnose this problem ↗Separate receivables, inventory and payment timing, then quantify the biggest release opportunity.
Diagnose this problem ↗Separate goal, workflow, tool and capability issues before changing the org.
Diagnose this problem ↗Read the code, delivery history and incidents, then test the first fix in isolation.
Diagnose this problem ↗Across every function, Polaris turns a hard question into a decision you can prove.
Zero retention by default. End-to-end encryption. Polaris can run inside your private cloud, on your servers or fully offline.
We do not retain your source material, prompt or deliverable after the engagement.
Your data stays protected from source access through final delivery.
When data cannot leave, Polaris works inside your cloud, servers or offline network.
“Customers keep calling back about the same issues and the backlog is growing. Where is the process breaking?”
Customers had confirmed resolution, but the tickets never reached the close action.
The revised close rule doubled confirmed closure in the replay.
“Our new products get traffic, but conversion still trails competitors. Which part of the launch is failing?”
The conversion gap remained after matching month, category and price band.
Low-stockout launches converted at 5.70%; high-stockout launches converted at 2.54%.
“We want to add AI routing so the team can close more cases.”
The replay improved first-assignment accuracy, but confirmed resolution did not move.
Reviewers confirmed the bottleneck came after resolution. Fix closure state and ownership first.
POLARIS · Enterprise problem solving