Drag dimensions
Pull Branch, Channel, Service or Root cause into Rows and Columns — or double-click to add them. No setup, no query language.
Feature — Analytics & Reports
Customer feedback analytics & custom reports
Qmeter turns every customer feedback response into live dashboards, drag-and-drop pivot reports and AI-written summaries — no analysts or SQL required. Ask the built-in AI Analyst a question in plain language and get a full report with an executive summary, insights and recommended actions; only your data schema is ever sent to the AI, never customer data.
Every response collected across web, SMS, email, QR, kiosk and call centre lands in the same analytics — comparable across branches from day one.
1000+companies use Qmeter
2M+feedbacks collected
15+years in customer experience
Live dashboards
One screen that answers “how are we doing?”
The dashboard opens the moment you log in and updates as feedback arrives — filtered to exactly the branches and services you care about.
- Five KPI cards — CSAT, NPS, total feedbacks, close-the-loop rate and sentiment split — each with a trend against the previous period.
- A short AI-generated summary above the cards tells you what changed before you read a single chart.
- The Satisfaction & Volume chart overlays response volume with CSAT or NPS — switch between the two with one click.
- “Needs your attention” lists overdue tickets, escalations, negative feedback and at-risk customers — one click opens each.
- Filter everything by branch, service, template or period — Today, 7d, 30d, 90d, YTD or All time.
The close-the-loop card shows how many negative feedbacks actually got a response — the number at the heart of a closed-loop feedback process.
Report builder
Build any report yourself — no analysts, no SQL
If you can drag a chip, you can build a report. The pivot builder answers questions your dashboard was never designed for.
The same engine reports on complaints too: resolution rates, SLA compliance and root causes, straight from the closed-loop ticketing module.
Add measures
Response count, average CSAT, NPS, resolution rate, SLA compliance — mix any of them in Values, side by side.
Run the report
One click builds the pivot table and KPI cards. After the first run, every layout change refreshes the numbers automatically.
Filter from the table
Right-click any cell → Keep only or Exclude that value. Totals recalculate instantly, so you drill down without rebuilding.
Dimensions
BranchServiceChannelTemplateStatusPrioritySourceCategoryLabelRoot causeAction takenAssigneeCustomerCreated date — day / week / month / quarter / year
Measures
Response countAverage CSATNPSTicket countResolved countReopened countResolution rateAvg first-response timeAvg resolution timeFirst-response SLA met %Resolution SLA met %Post-resolution CSAT %
Deliver
Reports that arrive in the leadership inbox
A report nobody opens changes nothing. Put the numbers where your team already looks — their email.
Save and share
Name the layout once, reopen it from All Reports any time, and share it with team members — you control who sees what.
Schedule to email
Daily, weekly or monthly — the report lands in the recipients' inboxes on time. Leadership reads the numbers without logging in.
Export anywhere
PDF for the board pack, Excel and CSV for deeper digging. Every report and every AI Analyst result exports in one click.
AI Analyst
AI customer feedback analysis in plain language
Type a question the way you would ask a colleague — “How did CSAT trend by branch last month?” The AI Analyst builds the report step by step, reads the result, and returns an executive summary, key indicator cards, AI Insights and Recommended actions, with the full pivot table underneath. Then push further: “focus on the three weakest branches” — it refines in context.
- Executive summary written for leadership, not for analysts
- AI Insights — the anomalies you would have missed in the averages
- Recommended actions, not just charts
- Follow-up questions refine the analysis in context
Privacy by design: only the data schema — the structure of your query — is sent to the AI. Customer records, response texts and personal notes never leave Qmeter. You connect your own OpenAI or Anthropic key and choose the model.
Accountability
Branch, agent and service leaderboards
Averages hide problems; leaderboards surface them. Rank by CSAT, NPS or SLI so Monday's meeting starts with facts, not impressions.
Branches
Rank every location by CSAT, NPS or SLI
Top agents
See who resolves fastest — and who needs coaching
Top services
Find the touchpoints that drag the score down
Measure what matters
SLI, NPS, CSAT and sentiment — tracked in one place
Pick the right KPI per touchpoint; Qmeter keeps them all comparable across every branch and channel.
Satisfaction Level Indicator
Qmeter's own single-number KPI (−100 to 100): current case × 100 / best case. One score to rank every branch, every week.
How SLI works →Net Promoter Score
Tracks whether customers would recommend you (−100 to +100). The dashboard shows it live, with period-on-period change.
NPS vs CSAT vs CES →Customer Satisfaction
The workhorse metric. Score every visit and transaction, then pivot it by branch, service or channel in the report builder.
When to use CSAT →Sentiment analysis
AI reads every comment and splits positive, neutral and negative — so text feedback counts in your numbers, not just scores.
CX terms explained →New to these terms? Start with the NPS vs CSAT vs CES comparison or the customer experience glossary.
The ROI
What self-serve analytics returns
The return arrives as hours nobody spends and decisions nobody waits for — one cited finding, two pieces of product mechanics.
Feedback gets ignored fastest when reading it is someone's unpaid second job. Dashboards and AI summaries turn this week's responses into this week's decisions — an underperforming branch surfaces today, not in next quarter's report.
time-to-insightBranch managers build their own pivot reports by dragging chips — no query language, no BI backlog. The analyst-hours that used to queue behind report requests typically go back to actual analysis.
Self-serve report builderDaily, weekly or monthly, the report assembles itself and lands in leadership inboxes. The recurring hours someone spends exporting, formatting and emailing the same deck typically disappear from the calendar.
Scheduled reportsDashboards, the report builder and scheduled delivery are part of the platform, priced in public: Web Feedback from €500/year, Device License from €50/device/month. If a BI seat, a consultant day or an analyst backlog was in your plan, run the comparison first — see transparent pricing.
What is customer feedback analytics?
Customer feedback analytics is the practice of turning survey responses, ratings and comments into measurable indicators — CSAT, NPS, sentiment and trends — so you can see where service slips and act before customers leave. Qmeter does this live: every response updates the dashboard, SLI scores and branch leaderboards the moment it arrives.
Can I build custom feedback reports without a data analyst?
How does AI customer feedback analysis work in Qmeter?
Does Qmeter send my customer data to the AI?
Can Qmeter email reports to my team automatically?
Which customer experience metrics can Qmeter track?
How much does customer feedback analytics cost with Qmeter?
Keep exploring
Where the numbers come from — and what to do with them
Close the loop with ticketing
Negative feedback becomes a tracked ticket with SLA timers, escalation and root-cause reporting — the numbers this page measures.
→SLI — Satisfaction Level Indicator
Qmeter's single-number CX KPI (−100 to 100). How it is calculated and why operators rank branches by it.
→NPS vs CSAT vs CES
Which metric fits which touchpoint — and how to combine them without confusing your team.
→Get started
See your feedback turn into answers
Start a 14-day free trial — no credit card. Connect your channels and your first dashboard fills the day you go live.
