In the course on working with questionnaires you learned how to design questions, build a questionnaire, send it out and evaluate the results. This course starts exactly where that one ended. You have the answers. Now we turn them into concrete steps: an email that actually gets sent, a phone call that someone picks up, an offer that arrives at just the right moment.
An answer is a signal, not just a number
Most companies read questionnaire results as a report. They look at the averages, nod at the chart and file the document away. Yet behind every single answer sits a real person in a real situation, and that situation has a business consequence.
When a customer writes that they are considering expanding the relationship, that is a sales opportunity. When they write that they have been waiting six months for a problem to be resolved, that is a churn risk. When they give you the highest rating and add that they recommend you to colleagues, that is a candidate for a testimonial. Aggregate statistics show none of these three things. You only see them when you look at individual answers.
Three signals to look for in the answers
Whatever you ask about, three types of signals keep appearing in the answers. Learn to name them, because each one requires a different reaction and often a different person in your company.
- A customer ready to buy. They mention a missing feature, a plan for next year, interest in another service. The reaction belongs to sales and should be fast.
- A customer about to leave. A low rating, a described problem, a mention of a competitor. The reaction belongs to support or customer care and should be personal.
- A happy customer. A top rating and a complimentary comment. Here you ask for a review, a referral or consent to a case study.
The rest of the answers is material for improving your product and processes. That is valuable too, it just moves more slowly and in a different rhythm. The difference is simple. Improvements are planned in months, a business signal fades within days.
Where to find the data in Quanda
You will work mainly with two sections of the questionnaire. In the completed questionnaires section you see individual answers respondent by respondent, including the submission date, the time spent filling it in and the respondent's email. You can pick a date range, assign tags to respondents and download everything as a CSV file, which also includes the respondent, respondent email and company columns.
The answer analysis section, on the other hand, shows a summary across all respondents and gives you an advanced filter. That filter is the key to this course, because it lets you cut the whole sample into groups you can actually work with. The second lesson covers it in detail.
Identification is essential and speed decides
Everything we describe in this course rests on one assumption. You need to know who answered. You achieve that by sending the questionnaire out as an email campaign directly from Quanda. The answers then get linked to the contact, and next to them you also see the data you hold about the person and their company. A public link or a QR code have their place, and for sensitive topics anonymity is an advantage, but you cannot extract a business signal from them.
The second assumption is speed. A customer who wrote today that they are considering leaving expects a reaction this week, not after you have evaluated the entire survey. That is why it pays to watch the answers in Quanda continuously, as soon as they start coming in. In the next lessons we will show you how to build a system around these reactions, so they no longer depend on whether someone remembers.