Supportifier Knowledge Analysis Start with your own questions.

Which questions recur? Which answers already exist? Where is knowledge missing? The analysis starts from your material and gives you a concrete basis for what to begin with.

Short answer

The Supportifier Knowledge Analysis goes through a sample of your tickets, your website and existing FAQ and shows which questions recur, which answers already exist and where knowledge is missing or contradicts itself. The result is a ranked list of question types, named knowledge gaps, three example articles and an assessment of what can be automated. Scope, price and data handling are agreed before any material is handed over.

Talk about a knowledge analysisRead on
01

A basis you can act on.

We agree what the analysis will cover before the work starts. An arrangement can include:

The recurring questions
Question types ranked by volume in the analysed sample.
The knowledge that exists – and is missing
Which questions existing material can answer, named knowledge gaps and conflicting or outdated answers.
A concrete next step
An assessment of possible AI assistance and automation, three example articles built from the material and a joint review of the results.
02

You do not have to start with a large export.

We start with a conversation about volume, channels and which sources exist. Then we decide on a suitable sample of conversations, website and existing FAQ or help centre. Material from different periods may need to be kept apart.

03

Agreement before any data transfer.

Selection, permissions, personal data handling, transfer method, storage, deletion, price and delivery need to be agreed before material is handed over. This website has no upload of customer tickets. Do not send conversations or personal data through the booking.

04

The result is a decision, not just a report.

In the review we separate what is actually in the material from what needs further investigation. The next step may be to improve the knowledge, start with draft answers or connect customer data in a limited flow.

05

Common questions

What does a knowledge analysis include?

A Supportifier knowledge analysis shows which question types recur, ranked by volume in the analysed sample, which questions existing material can answer and where knowledge is missing, conflicting or outdated. The arrangement can also include three example articles built from the material, an assessment of possible AI assistance and automation and a joint review of the results.

What material does the analysis need?

The analysis is based on a sample of your conversations, your website and existing FAQ or help centre. You do not have to start with a large export: first we go through volume, channels and which sources exist, and then we decide on a suitable sample.

How is customer data handled in a knowledge analysis?

Selection, permissions, personal data handling, transfer method, storage, deletion, price and delivery are agreed before any material is handed over. This website has no upload of customer tickets, so do not send conversations or personal data through the booking.

Next step

Start from your everyday work.

Tell us which question takes time today. We go through what a first step could look like.

Book a walkthrough

From analysis to a limited rollout.

Read how we start with sources, review and a limited flow before you take the next step.

How the rollout works
All articles
From the same question
to a better answer.Book a walkthrough