About StatQuestions

WHO WE SERVE

Built for whoever owns the cost of broken operations.

StatQuestions is for customer experience and voice-of-customer leaders, operations and service managers, quality and compliance teams, employee experience and HR professionals, researchers, analysts, and the executives who sign off, at US-based mid-market and lower-enterprise organizations, where repeat contacts, refund leakage, escalations, and warranty returns are already tracked by finance but the root cause is still a debate in a conference room.

We read the feedback your customers and employees already wrote. We tell you what is breaking, what it costs, and what to fix first, with statistical proof, and a way to track the fix to done.

Before StatQuestions

The situation

"We know escalations are up 18%. We don't know why."

Finance is asking for a root cause. Ops says it's the product. Product says it's the process. CX says it's both. Everyone has an opinion. Nobody has proof.

What happens

•A data analyst spends 3 weeks pulling ticket samples
•The findings get debated because sample selection is subjective
•A fix gets approved based on gut feel
•Six months later, escalations are still up

Confidence to act

Low, opinion-led

"We think this is the right fix. Probably."

With StatQuestions

The same situation

"Escalations are up 18%. Here's the proof of why."

Upload 90 days of tickets from Zendesk. In hours: issues classified, BUs ranked by failure rate, repeat contacts quantified, and root cause traced with statistical significance.

What you get

Illustrative example
✓Billing errors in the West BU are causing 27% of escalations, tested and confirmed as real
✓That pattern represents about $180K in rework annually at your labor rate
✓5 Whys traces it to an ERP migration edge case from Q3
✓Fix-first priority: patch the ERP sync, estimated 40% escalation reduction

Confidence to act

High, evidence-led

"Here's the proof. Here's the cost. Here's the fix. Let's move."

The data your customers already wrote is the evidence you need.
StatQuestions reads it at scale, structures it statistically, and hands you a prioritized fix list, no data science team, no six-week project, no guesswork.

Who we're built for

If three of these five describe your situation, book a demo. If none do, we'll honestly tell you to wait.

US-based mid-market to lower enterprise

200–10,000 employees. $50M–$2B revenue. Large enough to have operational complexity, small enough that one budget cycle matters.

Finance already tracks your failure cost

Repeat contact rate, refund leakage, warranty return cost, escalation headcount, churn from service failure, it's already on a spreadsheet somewhere.

5,000+ customer communications per month

Tickets, emails, call transcripts, chat logs, survey verbatims. Below 5,000 contacts per month, a good analyst with a spreadsheet is faster than us.

Your data lives in a system you can export from

Your helpdesk, your case management system, your survey tool, your shared inbox, your complaint log, if you can export a CSV, you can use StatQuestions.

You've tried dashboards and still don't know why

You have CSAT scores, NPS numbers, volume trends. You know things are bad. Nobody can tell you why, or what to fix that would actually change the number.

Our mission

Organizations collect feedback everywhere, support emails, call recordings, surveys, employee conversations, customer support tickets, NPS feedback. But these data sources live in silos, creating an incomplete picture that leads to low-confidence decisions.

We believe that unified feedback intelligence shouldn't be a luxury. Whether you're analyzing customer churn, employee engagement, product adoption, or service quality, you deserve to see the full story: unstructured feedback revealing patterns → voice & email AI extracting root causes → surveys validating at scale → causal models proving what fixes work → action tracking measuring real impact.

Email Intelligence reads support threads and customer conversations to find when issues started, track escalation patterns, and identify root causes with AI clustering. Voice Intelligence transcribes and analyzes recordings to extract themes, issue pattern shifts, and moments of frustration. Surveys validate and quantify these findings at scale. Causal Analysis proves statistical relationships between feedback patterns and business metrics (churn, retention, NPS, revenue).

StatQuestions unifies fragmented feedback into a single source of truth, giving teams the confidence to act decisively and prove the impact on the metrics that matter.

Why StatQuestions?

Because you can't afford to guess. We give you statistical proof that what you're about to invest in will actually work.

Unified feedback intelligence

Analyze what's already in your system. Upload support emails, call recordings, and feedback threads. AI extracts themes, tracks issue pattern shifts, identifies root causes across all channels, then you validate findings with targeted surveys at scale.

Prove ROI to leadership

Upload KPI data and we'll prove the statistical correlation between survey responses and business outcomes. Get CFO buy-in with hard numbers.

Track action → outcome

Close the loop. Don't just collect feedback, prove your fixes worked. Track actions to business metrics and show measurable improvement.

Bottom line: We don't just tell you what people said, we prove what changes will move your business metrics before you waste time and budget.

Problems we solve, in operational terms

These are the conversations happening in ops reviews right now. StatQuestions gives you the evidence to end the debate.

Repeat contact & rework reduction

Identify which issue types generate the most repeat contacts, quantify the rework cost in hours and dollars, fix the root cause.

Churn root cause analysis

Connect customer failure patterns to cancellations. See which operational breakdowns correlate to lost ARR.

Refund and credit leakage

Track which failure modes generate the most refunds. Attribute leakage to specific root causes, not departments.

Escalation volume drivers

Identify what creates escalations before they happen. Rank escalation causes by cost, not just count.

SLA breach causation

Go past "we missed SLA" to "this process failure caused the breach in these account segments."

Repeat contact drivers

Find which issue types keep bringing the same customer back, and whether the root cause is training, policy, or tooling.

Warranty & returns pattern detection

Identify product or process root causes of returns. Chronic patterns surface statistically in days, not quarters.

Onboarding drop-off causes

Read the tickets from customers who dropped off during onboarding. Find the common failure point.

Quality incident & CAPA investigation

Use customer text as evidence for quality investigations. Statistical significance replaces "we looked at a sample."

Learn more about feedback programs

Feedback isn't just for employee engagement, it's a strategic tool for customer retention, product development, change management, and process improvement. Learn how to design feedback programs that drive real business outcomes.

Read: Designing strategic feedback programs

What we promise you

Our commitments to every team using StatQuestions

You can trust the numbers

Every statistical test follows rigorous standards. No inflated claims, no cherry-picked results. When we say something is significant, you can bet your budget on it.

You don't need to be an expert

Complex statistics shouldn't require a PhD. We handle the math so you can focus on making decisions. If you can create a survey, you can run world-class statistical analysis.

You get clear next steps, not just data

We don't dump spreadsheets on you. Every insight connects to business outcomes and recommends specific actions. You'll know exactly what to do, and why it matters.

You understand how we got there

No black boxes. You see the methodology, test results, and sample sizes. When leadership asks "how do you know?", you'll have clear, explainable answers.

Who's behind StatQuestions

Darius White

Founder & CEO, StatQuestions

I built StatQuestions after watching too many ops reviews end in "we think" instead of "we can prove." The data your customers already wrote is the evidence, StatQuestions just makes it defensible.

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