For beginners

Create a customer survey without being a researcher.

Describe in one sentence what you want to find out. usabiq suggests the right method, generates the questionnaire and guides you to launch; participants answer via a link, without an account. The methodology lives in the tool, not in your résumé. AI assistance for building surveys is included from Research Starter — on the free plan you build the questionnaire from the included templates.

What your customers say 248 responses

Onboarding takes too long 34%
Export is missing 25%
Analysis saves time 23%

Tackle first: simplify onboarding

Sample data

Prior knowledge: none
Participation: via link
Start: €0

AI creator

Your goal, in your own words

“I want to understand why new users drop off after onboarding.”

usabiq suggests

Method: JTBD Switch Fit 94% measures push, pull, anxiety and habit — the forces behind dropping off
Questionnaire: 8 questions generated including 2 free-text fields for the AI analysis later
Participation: Public link, no account mobile-optimized, privacy notice generated automatically

Every suggestion stays editable, and a bias check flags leading and double-barreled questions before the survey goes live.

Guided setup

One step at a time, with an explanation of what each question is for — instead of an empty form with 40 options. The bias check suggests rewordings.
Templates instead of a blank page

Ready-made questionnaires for recurring product questions. Adjusting is enough; you don’t have to design anything from scratch.
No setup for participants

A link is all it takes. No accounts, no instructions, no questions back to you. The AI creator is included from Research Starter.

From question to decision.

Five steps, one tool. No export to Excel, no second tool for the analysis, no agency in between.

01 State your goal

Say what you want to know

One sentence is enough: “I want to understand why new customers drop off after four weeks.” You need neither a draft questionnaire nor a choice of method — that follows in the next step.

Result: a clear research question
02 Survey is built

usabiq builds the questionnaire

The AI creator suggests the right method, drafts the questions and flags leading and double-barreled questions before they do damage. You review and change whatever doesn’t fit. Or you start from a ready-made template.

Result: a questionnaire ready to launch — effort: one morning
03 Collect responses

Share a link, nothing more

Participants need no account and no instructions. Share the link by email, in your product, in your shop or in your newsletter — on any device. Responses come in live, including a flag for submissions clicked through too quickly.

Result: solid raw data instead of individual opinions
04 AI analyzes

Free-text answers become eight themes

Open answers are grouped by theme and tagged with sentiment, rating questions are turned into metrics, groups are compared: how did new customers answer, how did existing ones? Nobody has to read and tag responses by hand.

Result: themes with frequency, sentiment and supporting quote
05 Decide

A priority order instead of a debate

The Decision Engine rates every insight by impact, frequency, criticality, reliability and segment relevance and sorts them into a list: top problems, top opportunities, quick wins. Share the list via a protected link, export it or send it straight into your ticket system through the API.

Result: a prioritized action list — not a PDF graveyard

You decide how long to collect responses — the analysis updates with every new response. See it in a worked case study (in German).

What this looks like in practice.

Worked examples from different industries: the initial question, the chosen method, what the analysis showed — and the decision that followed. The fastest way to understand usabiq is a case that resembles your own.

E-commerce · Online shop

“Why do customers abandon the purchase at the last step?”

About seven in ten filled shopping carts are never paid for. The usual suspects — shipping costs, mandatory accounts, missing payment options — cannot be told apart in the shop data.

Two thirds of abandoners drop out because the delivery time only becomes visible at the last step — not because of shipping costs.

JTBD Switch + SUS 1,140 abandoners surveyed
Case study (in German)
Manufacturing · Product development

“Which improvement to our handheld vacuum really makes a difference?”

Nine ideas are on the table for the next generation — longer battery life, a quieter motor, a larger bin. Engineering and sales disagree, and the budget covers three.

Emptying the bin without a cloud of dust is by far the largest unmet need. The much-debated battery life ranks sixth.

JTBD ODI 412 buyers surveyed
Case study (in German)
Internal communications · Intranet

“Why do employees ask colleagues instead of the intranet?”

The intranet was rebuilt 18 months ago for a six-figure sum. Four in ten employees never log in. Management asks whether it can be switched off again.

It is not convenience: employees don’t trust the content, because no page says whether it is still valid.

JTBD Story 341 employees surveyed
Case study (in German)

All 8 case studies (in German)

Constructed example scenarios based on typical projects — no real customer data. They show how a study runs and what kind of result it produces. Missing a case from your industry? Write to us.

Basics

What to know before your first survey.

How many responses you need, how to get enough of them and what the methods behind them do — explained without jargon.

Choosing a method: Seven methods compared What each method answers, how it is analyzed and which plan includes it.
Open questions: The free-form questionnaire How to phrase open questions that produce something you can analyze — and how the answers are grouped into themes.
Usability score: System Usability Scale (SUS) Ten statements, one score from 0 to 100 — the quickest comparable measure of usability.
Sample size: Sample size calculator (in German) How many responses and invitations you need, from population, confidence level, margin of error and response rate.

Frequently asked questions about getting started

Who is usabiq for — do I need a research team?

No. usabiq is built for anyone who makes product, service or process decisions: product management, executives, marketing, customer service, quality management. The methodology is built into the tool — you don’t need to know how to construct a questionnaire. Teams with researchers get the depth on top: raw data, scoring logic and segment statistics are always visible.

How long does a study take from start to result?

Building it is the shortest part: state your goal, review the questionnaire, create the link — usually one morning. After that, your audience sets the pace. Counters and metrics update continuously. Themes and recommendations are calculated from five responses on and recalculated once noticeably more responses are in — you don’t wait for a final report, but you see a snapshot, not a live ticker.

Can I start without any research background?

Yes — that is exactly what it is built for. The AI creator suggests the right method from a one-sentence goal and drafts the questions; a bias check flags leading and double-barreled questions. The template library gives you ready-made surveys per method (for example “Post-onboarding SUS” or “Feature discovery”), and the decision summary tells you directly where to start.

Can I invite participants without an account?

Yes. There are three modes: signed-in users only, mixed (signed-in and anonymous), or fully public. Just share the link — anyone can respond, on any device, without registering.

Does usabiq provide participants or a panel?

No — and that is deliberate. You survey your own audience (customers, users, community), and usabiq charges no per-participant panel fee. You bring the audience; we deliver method, analysis and decision. Audience pools let you manage recurring contacts in one place.