The evidence lives in ten places.
Tickets, calls, dashboards, code, documents and operator knowledge each hold part of the answer.
Field Note 01 · 2026Enterprise problem solving
Start with the problem
Bring us the problem.
Polaris takes it from here.
What customers actually say
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.
A FINISHED ENGAGEMENT
ISSUE 01
TESTED ON HISTORY
CUSTOMER BRIEF
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.
Confirmed closure · before20%
→
Historical replay40%
+20percentage points
POLARISKEY FINDING
ROOT CAUSE
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.
INDUSTRY REFERENCEZendesk CX Trends 2026 ↗
85%
of CX leaders say customers will leave after an unresolved first contact.
THE GAP: confirmed resolution still fails to become a closed ticket- 01Root causeConfirmed tickets were stalling before the close action
- 02First moveAdvance confirmed tickets into the close workflow automatically
- 03ProofReplay the rule on history before turning it on live
START WITH THE PROBLEM ON YOUR DESK
What is the hardest problem
your team needs solved?
Tell us what changed, when it started and what outcome matters. Polaris will ask for the evidence it needs.
How Does Polaris Work?
Find the real cause✦Benchmark the best✦Locate the biggest gap✦Test before rollout✦Ask only what matters✦Deliver the complete answer✦
Find the real cause✦Benchmark the best✦Locate the biggest gap✦Test before rollout✦Ask only what matters✦Deliver the complete answer✦
WHY IT MATTERS
00
Your data is everywhere.
The decision is still unclear.
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?
Every team has a theory.
Sales points to the product. Product points to traffic. Operations points to process. Nobody has proved it.
The wrong fix is expensive.
Months of implementation can pass before the company learns that it changed the wrong part of the system.
SOLVE IT · BENCHMARK THE BEST
01
What does best-in-class look like?
Where is your gap?
Polaris finds the relevant public cases, technical approaches and benchmarks, shows the gap, then replays or tests the options on your data so you know what to fund and what to stop.
WHAT YOU GETPOLARIS / DECISION BRIEF
What is actually broken?
A root cause tied to revenue, cost, speed or customer experience—not a list of possibilities.
What does best-in-class look like?
Sourced examples, leading methods and public benchmarks that make the performance gap concrete.
Which move closes the most gap?
Options ranked by expected impact, cost, time and risk, with one clear first move.
Can we prove it before rollout?
A recalculation, replay, simulation or small prototype that tests the decision before full implementation.
ACROSS THE BUSINESS02
One system for hard problems
across the business.
Bring Polaris any high-value problem with evidence to investigate and an outcome worth improving.
SALESSERVICESUPPORTPRODUCTWAREHOUSELOGISTICSFINANCEPEOPLEENGINEERINGCOMPLIANCE
Lead volume is steady, but win rate has dropped for three straight quarters. What changed?
Separate lead quality, rep follow-up, pricing and deal-stage friction, then test the first move.
See Polaris cases ↗Repeat contacts are up and the backlog keeps growing. Where is the process breaking?
Trace the failure across tickets, calls and policy, then benchmark top service operations.
See Polaris cases ↗A-items keep stocking out while total inventory rises. Which planning decision is wrong?
Rebuild demand, replenishment and transfer decisions, then replay better policies on history.
See Polaris cases ↗Sales are up, collections are slowing, and cash on hand keeps falling. What is driving it?
Separate receivables, inventory and payment timing, then quantify the biggest release opportunity.
See Polaris cases ↗Headcount and hours are up, but output per team is down. What is getting in the way?
Separate goal, workflow, tool and capability issues before changing the org.
See Polaris cases ↗Release cycle time tripled while production incidents increased. Where is the bottleneck?
Read the code, delivery history and incidents, then test the first fix in isolation.
See Polaris cases ↗Across every function, Polaris turns a hard question into a decision you can prove.
PRIVACY & SECURITY03
Your information.
Confidential throughout.
Your material is deleted when the work is done.
Protected from source access through final delivery.
The work can stay inside your company.
THE EVIDENCE CAN STOP THE PLAN
04
Polaris proves what is worth doing.
And what is not.
01 · CUSTOMER SUPPORT
“Customers keep calling back about the same issues and the backlog is growing. Where is the process breaking?”
ROOT CAUSE4,000 tickets
Customers had confirmed resolution, but the tickets never reached the close action.
HISTORICAL REPLAY20% → 40%
The revised close rule doubled confirmed closure in the replay.
02 · FURNITURE LAUNCHES
“Our new products get traffic, but conversion still trails competitors. Which part of the launch is failing?”
GAP AFTER FAIR MATCHING−1.48 points
The conversion gap remained after matching month, category and price band.
FIRST HYPOTHESIS TO TESTStock availability
Low-stockout launches converted at 5.70%; high-stockout launches converted at 2.54%.
03 · SERVICE AUTOMATIONDO NOT SHIP
“We want to add AI routing so the team can close more cases.”
DO NOT SHIP
The data sandbox replayed AI routing on historical tickets. First-assignment accuracy improved, but customer-confirmed resolution did not. A sampled review reached the same conclusion, so the rollout was stopped. The real bottleneck came after resolution: closure state and ownership handoff.
POLARIS · Enterprise problem solving