Trends, not anecdotes
Your comments grouped by category and sentiment
Turn Insights Into Action
Hundreds of comments, a handful of clear priorities
The AI assistant analyzes your comments, Google reviews, and survey responses, groups them by category, and surfaces what is getting worse. You open the platform already knowing what to handle first.
They trust us
More than 2,000 businesses trust us
Why feedback never turns into change
One comment tells a story. Several hundred analyzed together reveal a trend. The problem is that nobody has time to read the hundreds to find the trend, so teams act on the two or three comments that stuck with them.
What it costs you:
Recurring pain points stay invisible
The same issue mentioned twenty times in twenty different ways doesn't surface from manual reading. You fix what shouted loudest instead of what comes up most often.
You can't tell whether your fixes worked
A team rolls out an improvement. Three months later, nobody can say whether customer perception moved on that specific point. The effort is never validated and the next initiative starts blind.
Reports don't turn into decisions
Well-filled charts don't say what to do on Monday morning. Without ranked priorities and a named owner, the meeting ends on observations and nothing changes in operations.
Less time analyzing. More time acting.
How your comments become actions
The AI assistant works across all your sources: survey responses, Google reviews, and Facebook reviews. It turns raw text into categories, sentiment, and priorities.
Turn insights into action
1. Comments analyzed
What your customers say
Strengths
Efficiency and wait time — 253
Professionalism — 186
Pain points
Cost — 66
Diagnosis and treatment — 48
2. Priority detected
Cost is the main
pain point
66 mentions
A clear opportunity to improve
3. Action plan
Act on the priority
1. Clarify pricing
2. Explain what is included
3. Track the trend
Priority set
Step 1: Structure your categories
The Verbatims report analyzes all your responses and proposes six to eight broad categories covering the aspects of your business: service, staff, price, quality of work. You add your own categories and reorganize topics by hand when needed.
Step 2: Spot what needs your attention
The "to watch" section surfaces the most at-risk category, the most negative source, and the topics that come up most often in negative feedback. Theme detection also lets you ask a specific question about your business and get a targeted analysis.
Step 3: Track the effect of your actions
Sentiment per category is plotted over time: if you work on wait times, you watch that category move month after month. The monthly report adds a CX diagnostic, causal hypotheses, and an action plan with an owner and a due date.
What automated analysis gives you
Know what to fix first
At-risk categories and the most frequent pain points
Ask your own questions
A targeted analysis on one specific issue in your business
A weekly recap
Highlights and priorities without rereading everything
Leave with a plan
Recommended actions, suggested owner, and due date
With InputKit, I can analyze customer needs through automated questionnaires in minutes. It saves me about two hours of follow-up and management per day. We also get about five times more Google reviews than before.
Alain Gauthier
Director of Communications and Customer Service, Pneu Carignan
Ready to know what to fix first?
Your customers have already told you what's wrong. Take 15 minutes to see how InputKit turns hundreds of comments into clear priorities and concrete actions.
