Sentiment Scoring
Every response gets a precise sentiment score from 0–100 — not just 'positive' or 'negative,' but how strongly, with context for what drove the emotion. Track score changes over time across all your forms.
Analytics Your feedback is full of answers.
Your feedback is full of answers.
Analytics finds them.
Feedal's analytics layer combines AI feedback analysis, multi-dimensional sentiment scoring, trend detection, and custom reporting — turning every response into a decision your team can act on. 30+ data points. Zero manual work.
- 30+ analysis dimensions per response
- Trend detection across any time period
- Plain-English summaries, no analyst needed
✦ How analytics works
From raw response to clear insight in four steps.
No setup. No model training. No manual categorisation. Feedal's analytics engine runs automatically on every response the moment it arrives — and on historical data you already own.
- Response collectedFeedback arrives from any source — a live form, email survey, in-app widget, Shopify post-purchase flow, or CSV upload. Feedal begins processing it the moment it lands. Nothing to trigger manually.
- AI runs 30+ analysis checksSentiment scoring, topic extraction, urgency detection, churn risk flagging, intent classification, and tone recognition all run in parallel — in under 5 seconds. Every response, every time, with no sampling.
- Scores, themes & trends surfaceEach response is scored and mapped to relevant themes. Cross-response patterns are detected automatically as data accumulates — surfacing what's changing, what's growing, and what needs attention now.
- Summary, report & recommended actionsFeedal generates a plain-English summary of what's happening, what changed, and what your team should do next. Export as a custom report. Share with your team via Slack, Jira, or PDF.
Step 1 — Response collected
Marcus T. — Product feedback · NPS Survey Q1
"The product itself is genuinely great but the last two deliveries were 2–3 weeks late. I almost switched. Support was helpful but this keeps happening."
Priya K. — Support survey
"Response time was slower than expected this week. Would prefer faster turnaround on tickets."
847 total responses this period · analysing all of them
Step 2 — AI running 30+ checkpoints
✓
Sentiment scoring — Negative (32/100)✓
Intent classification — complaint + retention signal✓
Topic extraction — Delivery, Support✓
Urgency detection — HIGH (repeat pattern)◉
Churn risk assessment — calculating…Priority scoring + trend comparison
Plain-English summary generation
5 of 30+ checks complete. Avg analysis time: < 5s
Step 3 — Scores and themes surfaced
Sentiment Negative · 32/100
Urgency High
Churn risk Elevated ↑
Priority score 9.1 / 10
This response matches 4 others flagged in the last 24h — delivery delays emerging as a cross-segment trend.
Step 4 — Summary + actions ready
AI Summary — NPS Survey Q1
Delivery delays are your fastest-growing complaint — 4 mentions in 24h, up 34% QoQ. Sentiment declined 6 points this week. 14 responses carry churn-risk language. Overall satisfaction remains strong at 78%.
Recommended: Escalate delivery issues to ops team immediately
Suggested: CS outreach to 14 flagged at-risk accounts
Watch: Delivery theme trending — review next week
✦ What analytics covers
Nine dimensions of insight. One unified dashboard.
Every response is analysed across sentiment, topics, urgency, intent, trends, and more — automatically, the moment it arrives. Nothing to configure. Nothing to switch on.
Topic Clustering
AI groups responses by the themes they mention — delivery, onboarding, pricing, support — without any manual tagging. Tracks which topics are growing, shrinking, or spiking week over week.
Trend Analysis
Track how sentiment, topics, and satisfaction scores shift across any time window — daily, weekly, quarterly. Measure the impact of product changes, support improvements, or pricing decisions on customer perception.
Churn Risk Detection
Feedal's AI detects language patterns that appear in responses from customers who later churn — frustration, competitor comparisons, disengagement signals. Flagged responses are highlighted for immediate CS action.
Urgency & Priority Scoring
Not every negative response needs the same attention. Each response is scored on urgency and business impact — so your team always knows what to fix first without manually triaging hundreds of responses.
Plain-English AI Summaries
Every form gets a plain-English summary written for product teams, CS teams, and founders — what's happening, what changed, and what your team should do next. No data literacy or analyst time required.
Custom Reports & Dashboards
Build reports tailored to your team's questions. Filter by date, source, sentiment, topic, or form. Export as PDF or CSV to share with stakeholders who don't have a Feedal account.
Predictive & Competitive Insights
Track patterns that predict future satisfaction levels. Understand how your products compare to customer expectations. Identify competitive gaps before they become churn. Forecast satisfaction based on trend velocity.
Intent Classification
Feedal automatically identifies why a customer wrote — complaint, feature request, praise, question, or cancellation signal. Intent data tells your team not just how customers feel, but what they actually want you to do.
✦ Under the hood
30+ data points. Zero manual work.
Feedal doesn't run one model against your feedback — it runs a coordinated pipeline of specialised analysis checks that each look for something different. The result is nuanced, consistent analysis at any scale, delivered instantly.
- Sentiment polarity and intensity
- Emotional tone detection
- Topic and theme extraction
- Urgency and business impact
- Churn risk language patterns
- Intent classification
- Trend comparison vs prior periods
- Customer segment patterns
- Priority scoring and ranking
- Competitive signal detection
- Satisfaction forecasting
- Plain-English summary generation
✦ Who uses it
Built for every team that needs feedback to mean something.
Analytics isn't just for data teams. Every function in your organisation benefits when raw feedback becomes clear, actionable intelligence automatically.
Product teams
Surface the feature requests and friction points that actually matter. Stop guessing what to build next — AI shows you what users keep mentioning, what's growing, and what's critically broken. Trend analysis makes your roadmap defensible.
Customer success teams
Catch at-risk accounts before they churn. Churn risk detection flags elevated language patterns the moment they appear. Urgency scoring tells your CS team which customers to contact today — not next week after they've already left.
Marketing teams
Understand how customers perceive your brand, messaging, and campaigns. Sentiment analysis on post-campaign feedback tells you what landed and what didn't. Topic clustering surfaces the language your customers actually use — invaluable for copy.
Executives and leadership
Get a weekly AI briefing on what customers are saying — sentiment trends, what changed, what needs a decision. Custom dashboards and exportable reports give your board the narrative behind the numbers without anyone spending hours on it.
Comparison
Other tools give you data. Feedal gives you answers.
Most analytics tools surface charts and counts. Feedal tells you what the data means, what changed, and what to do — automatically.
Feature
Others
Feedal
Sentiment scoring on every response
✗
✓
Topic clustering without manual tagging
Manual setup required
✓
Trend analysis across any time period
Basic charts only
✓
Churn risk detection per response
✗
✓
Urgency and priority scoring
✗
✓
Plain-English AI summary with next steps
✗
✓
Predictive satisfaction forecasting
✗
✓
Custom dashboards and exportable reports
Limited filters
✓
Analyses 100% of responses, no sampling
Sampling on large sets
Every one
Works on historical CSV data too
✗
✓
✦ Works best with
Analytics is the intelligence layer of a complete feedback platform.
Trusted By Teams Who Care About Feedback
-
We used to spend hours reading through customer feedback manually. Feedal's AI analysis cuts that down to minutes. The sentiment tracking helped us identify a product issue before it became a bigger problem.
Sarah Chen
Product Manager
Free forever You're one form away
You're one form away
from knowing
Most people spend weeks collecting feedback and still don't know what to do with it. With Feedal, you'll know by tonight.
Build your first form → FAQ
Questions about Analytics.
Everything you need to know before you start.
What exactly does the analytics cover? +
Feedal's analytics covers 30+ dimensions per response: sentiment scoring (0–100), emotional tone, topic and theme clustering, urgency detection, churn risk flagging, intent classification (complaint, praise, suggestion), trend comparison vs prior periods, customer segment analysis, priority scoring, predictive satisfaction signals, and plain-English AI summaries with recommended actions. Everything runs automatically on every response — no configuration needed.
How is this different from just looking at my survey scores? +
Survey scores tell you how customers feel on a scale. Feedal analytics tells you why — what specific themes are driving those scores, which customers are at risk, what's getting better or worse week-over-week, and what your team should actually do about it. It turns a number into a narrative and a list of actions, rather than leaving interpretation to whoever happens to have time that week.
Can I run analytics on feedback I've already collected? +
Yes. Upload any CSV — from Typeform, Google Sheets, SurveyMonkey, your CRM, or support platform — and Feedal runs the same analytics pipeline on your historical data. Teams regularly upload years of backlogged feedback and get insights in under two minutes. Trend analysis even works across time periods if your CSV includes a date column.
How accurate is the sentiment and churn risk detection? +
Feedal's sentiment engine achieves over 90% accuracy on customer feedback data, validated against human-labelled responses across 50,000+ test cases. Churn risk detection is calibrated specifically for feedback contexts — it understands that 'I almost left' is more urgent than 'this could be better.' Unlike generic sentiment tools, Feedal's models are trained on customer feedback language, not general text.
Can I build custom reports and share them? +
Yes. You can filter analytics by date range, source, sentiment, topic, urgency level, or form. Save views as custom dashboards for your team. Export full reports as PDF or CSV to share with stakeholders who don't have Feedal accounts — board decks, QBRs, and weekly CS briefs are common uses. Automated report delivery via Slack is available on paid plans.
Does it analyse every response or just a sample? +
Every single response is analysed — no sampling, no skipping, no 'top 100 responses only.' Whether you have 10 responses or 10,000, every one goes through the full 30+ checkpoint pipeline. This matters because sampled analysis misses edge cases, rare themes, and the specific individual responses that carry the highest churn risk or urgency.