Support for SaaS: developers stop answering users themselves

In a small SaaS team support is handled by whoever is closest to the chat — usually a developer or the founder. That works until the first few hundred users, then it eats days. We take the first line, build a knowledge base from real requests and pass only defects to development — with reproduction and severity, so they can be picked up without clarifications.

What comes into SaaS support

• Onboarding: how to start, how to set up, where to find — the largest category, almost entirely closed by the knowledge base.
• Feature questions: what the product can do, how to accomplish a specific task, why it does not work.
• Billing: plans, payment, renewal, invoices, refunds — under the financial playbook.
• Access and teams: invitations, roles, account recovery, account transfers.
• Defects: does not work, works wrongly, data disappeared — reproduction and a ticket to development.
• Feature requests: thanks, a backlog entry, no promises on timing.

A knowledge base written from requests

We do not write the knowledge base in advance — it will not match what people ask. The first line answers, and every answer that was not in the base becomes an article. Within a month the base covers most requests, and the agent links to articles instead of writing anew. After every release the articles are updated for interface changes — the same work as documentation LQA, and we do it in one cycle.

Defect escalation without loss

1. The agent reproduces the problem by the user's steps on the test environment or in their account with consent.
2. A ticket in the tracker: title, steps, expected and actual result, environment, severity, screenshot — under the same rules testers use.
3. The user gets an interim reply with a deadline; development gets a ticket that can be picked up at once.
4. After the fix — notifying the user and updating the knowledge base if behaviour changed.

Support in a new market

For a SaaS entering Kazakhstan, Uzbekistan or another country of the region, support in the users' language is part of the launch, not the next stage. We connect a first line in the local language with a knowledge base translated with the same glossary as the interface, in the channels people use in that market: WhatsApp in Kazakhstan, Telegram in Uzbekistan, Viber in Belarus.

Hours, channels, tone

In-product chat, email, Telegram; a dedicated channel for enterprise clients. Coverage hours — the markets' business hours, extended by agreement. Tone — by your guide: we answer on behalf of the product, and the user should see no difference between your team and the first line. Russian, English and Uzbek in-house.