The problem
I hope you can read my handwriting
People skip through Avito¹ support articles and write to the support team instead
1. Avito is a Russian classified site. It's biggest classified in Europe with DAU of 10 million visitors
Expectations of my product manager. Что хотел продукт менеджер
Hide contacting the support from main в article, чтобы можно было только оттуда сделать обращение
Deepepr problem
All articles were unreadable. Texts were convoluted and referred to other articles that referred to another articles.
Картинка с текстом (перевод)
All articles were unreadable. Texts were convoluted and referred to other articles that referred to another articles.

I made the user journey:
I hope my script
is readable
Okay, what we are focusing on?
Half of all requests are about blocked ads. Usually it means, that a person put a copy of their existing ad. It's forbidden cause as a classidied we want only unique ads. When someone puts a double it usually means, that they want to ‘bump’ an ad to the top of the search.
The journey

Person puts up their selling ad —
Some time passes and an ad sinks to the bottom of the search page —
A person wants the ad in the top results and puts a new add —
Person recieves the email that the new ad is blocked —
They checks the add and don't know what happened —
They read supporting articles —
They don't undertant and they write to a support team
Fixing texts
Text is the most important thing in this case. No interface solution can tell the person what's wrong with his ad if supporting texts are unreadble.
I double (triple?) as an UX-writer so I lead the text story:

1. Evaluation of current texts
2. I lead the workshop with copywriters
3. Finding all texts about blocking ads and rewriting it. Yes, all by myself. It's would be a guide for all future rewriting of articles.
Evaluating current texts
Workshop with copywriters
Finding all touchpoints with user
1 The add (putting an add)
2 Email
3 The ad itself
4 support page
Solution
New Add, email, add itself, support page
Support page
Мы переработали контакт с суппортом. Мы знаем когда пользователь идёт спрашивать о блокировке объявления.
Идём наопережение
Result
Мы снизили количество обращений в два раза. Это четверть всех обращений ежедневно. Это очень много.
Мы создали новый виззард обращений с предсказанием запросов. Что тоже порезало