Module 26 · Specialist · 9 min read

Support models, SLAs and documentation

You will be able to: Design a post-go-live support model; Write an SLA with severities and targets; Write documentation people actually use.

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After hypercare, the client still needs help. Define who supports what before the project ends, or support will be an argument.

Levels of support

LevelWhoHandles
1Client's key user or administratorHow-to questions, password resets, simple checks, first look at the Zeyto Support Report
2Partner consultant or support deskConfiguration, data corrections through Zeyto's own screens, training, reports
3ZeytoProduct faults, missing features, licence issues, anything needing engineering

On Zeyto, the customer has first-line tools on the Zeyto computer (backup, restore, restart, login reset, Support Report). For level 2 you should prefer a time-limited support window opened by the customer in Diagnostics Bundle and a diagnostics file. Zeyto's own deeper tools, which read or change the database directly, need administrator access to the machine and belong to Zeyto engineers. A partner corrects books through the product's normal documents, adjustments and openings edit, not by changing the database.

A sample SLA

SeverityExampleFirst responseWorkaround or fix target
1 CriticalNobody can sell or post1 hour4 working hours
2 HighA key function fails with no easy workaround4 hours2 working days
3 MediumFunction fails but a workaround exists1 working day5 working days
4 LowQuestion or cosmetic issue2 working daysNext planned update

Also state support hours (for example Sunday to Thursday, 09:00 to 18:00), channels, exclusions such as third-party hardware, and how product defects are passed to Zeyto. Price it as a retainer of hours, an annual contract, or time and materials; whichever you choose, put the response targets and the exclusions in writing.

Reading an SLAA severity 1 ticket is raised at 09:30 on Monday. First response is due by 10:30. A workaround is due within 4 working hours, so by 13:30 if the support day runs 09:00 to 18:00. If the cause is a product defect, the partner records the Zeyto ticket number and keeps the client informed.

Writing documentation people use

  • One purpose per document: a blueprint decides, a configuration workbook records, a runbook says how to operate, a quick reference card helps daily.
  • Write for the reader's task: 'Cancel an invoice', not 'Document lifecycle'.
  • Use short sentences, the client's own screen names and real examples with figures.
  • Number steps and put the expected result after each action.
  • Show version number, date, author and who reviewed it. Keep one live copy in a shared folder.
  • Test every procedure by having someone who did not write it follow it.
TipA one-page 'If something goes wrong' card with the backup location, the support contacts and the first three checks saves more time than any manual.

Practise in the demo

  1. Write a one-page SLA for a 12-user client with four severities and support hours.
  2. Write the steps for 'Restore the latest backup' as a runbook, with the expected result after each step.
  3. Open https://demo.zeyto.app/demo-app/ and sign in with the demo login. This is a public demo with sample data, so nothing you do there affects a real business.
Open the live demo

Public demo company, sign in as admin / demoAdmin123. Data refreshes nightly.

Key takeaways
  • Support has three levels: client first line, partner second line, Zeyto third line.
  • An SLA sets response and fix targets by severity, hours and exclusions.
  • Good documentation has one purpose, task titles, numbered steps and version control.

Check yourself

4 questions on this lesson. Not timed, not the exam, and you can try again. Score 60% or more, and read the lesson, to complete it.

1. What does an SLA define?

2. A severity 1 ticket arrives at 09:30 Monday. First response is 1 hour and workaround 4 working hours, with support 09:00 to 18:00. When is the workaround due?

3. Which documentation practice is best?

4. A client's books contain an error. A support colleague offers to fix it with SQL on the live database. What is the right approach?

Practice questions for this module · Printable study sheet