30-60-90 day plan for technical writers
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A technical writer arrives able to write clearly and learn a product quickly. What they do not know is this product, the people who know it, and how documentation gets built, reviewed and published here: a docs-as-code repository, a content management system, a help center or a controlled document process. They also do not yet know which pages customers actually read and which questions reach support because the docs failed. A 30-60-90 day plan for technical writers should start with the product and the evidence, then document a real release, then hand over a doc set to own.
This plan is for the documentation manager, product lead or engineering manager hiring a technical writer for software, hardware or API documentation. The general structure is in the 30-60-90 day plan template for new hires. If the role is still open, the interview questions for written communication help test the core skill before the offer.
What to set up before writing anything
| Item | Owner | Needed before |
|---|---|---|
| Product access in a test or demo environment | Product or engineering lead | Using the product as a customer would |
| Documentation toolchain: repository, editor, build and publish rights | Docs lead or engineering | The first published fix |
| Style guide and terminology list | Docs lead | The first review |
| Access to support tickets, docs search terms and page analytics | Support and web team | The docs audit |
| Release calendar and the tickets for upcoming features | Product manager | Planning the first release docs |
| Named subject matter experts per product area | Engineering manager | The first accuracy review |
In regulated industries, such as medical devices or aviation, some documentation is controlled under the company's quality system with formal approval and change records. If that applies, add the document control procedure to the first week and have the quality team explain which documents are controlled.
The 30-60-90 day plan
30-60-90 day plan — [Name], Technical Writer, [team]
Reports to: [docs manager / product lead] Start: [date]
Doc sets: [user guide, API reference, admin guide, release notes]
Toolchain: [repo / CMS / help center]
Reviewers: [SME per area], [editor]
DAYS 1-30 — Product, evidence and small fixes
Goals:
- Use the product as a new customer would, with the docs,
and log every mismatch
- Read the style guide; get the toolchain working
- Audit the assigned doc set: top pages, top searches with no
good result, support tickets that point to docs
- Ship small fixes through review (example: correct steps
that no longer match the interface)
- Attend product and engineering planning meetings
Deliverables by day 30:
- Docs audit with evidence and a ranked fix list
- First fixes published, review findings logged by type
Check-in: day 30, with manager
DAYS 31-60 — Document a release
Goals:
- Document one feature release end to end (example: new
admin settings, or a new API endpoint with examples)
- Work from tickets and demos; test every procedure
- Get SME accuracy review and editorial review on time
- Write or edit the release notes for that release
Deliverables by day 60:
- Release docs published with the release, not after
- Review findings falling against the first fixes
Check-in: day 60
DAYS 61-90 — Own a doc set
Goals:
- Own a doc set with its backlog and release tracking
- Fix the top items from the day-30 audit
- Propose one structural improvement (example: a task-based
getting started guide, or reorganized navigation)
Deliverables by day 90:
- Doc set backlog ranked with evidence
- One audit theme fixed and checked against support data
Check-in: day 90 — full reviewWhat to measure
Pages written is a poor measure on its own. Measure whether the docs are accurate, on time and reduce confusion, and use the team's own data for targets. The standards below are examples only.
| Measure | Why it matters | Example standard (example only) |
|---|---|---|
| Docs ready on release day | Late docs leave users and support guessing | Every release in the owned set documented on time |
| SME accuracy findings per review | Shows how well the writer learns the product | Fewer findings on later reviews |
| Support tickets tagged as docs gaps | Direct evidence of missing or wrong content | Top themes addressed and rechecked |
| Searches with no useful result | Shows what users look for and cannot find | Top failed searches reviewed monthly |
| Procedures tested before publishing | Untested steps are the most common error | Every procedure tested in the product |
A filled example
Technical writer: Hannah Okafor (invented), three years writing help center content, joining a software company to own the administrator documentation.
Day 30: Found eleven procedures where the steps no longer matched the interface and fixed them through review. The audit showed that the most common docs-related support tickets were about user permissions, a topic split across five pages.
Day 60: Documented the new single sign-on settings, testing each procedure in the demo environment, and wrote the release notes. SME review came back on time because review dates were agreed at the start of the release.
Day 90: Owns the administrator guide. Rewrote the permissions content as one task-based page, and support tickets tagged to permissions fell over the following weeks. Backlog ranked with evidence for the next quarter.
What "on track" looks like
| Checkpoint | On track | Worth a direct conversation |
|---|---|---|
| Day 30 | Audit with evidence; fixes published; product used hands on | Rewriting pages for style without checking what users need |
| Day 60 | Release documented on time with tested steps | Docs published after the release; SME findings on basic facts |
| Day 90 | Doc set owned with a ranked backlog | Waits to be told what to write; no link to support data |
Getting reviews back on time
The most common reason documentation misses a release is not writing speed but review. Engineers and product managers are busy, and a review request without a date gets done last. Ask the new writer to agree review dates with each SME when a release is planned, to send small, specific review requests rather than whole guides, and to record who reviewed what. Managers can help by making docs review part of the definition of done for a feature, the same way testing is. The product manager plan and the software engineer plan show what those reviewers are juggling in their own first months.
What a useful day-30 docs audit contains
An audit that only lists pages the writer would rewrite is an opinion. A useful audit ties each finding to evidence. For the assigned doc set, it should show the most visited pages and whether they are accurate, the most common searches that return nothing useful, the support ticket themes that point to missing or wrong content, and every mismatch found while using the product. Each finding gets a rough effort estimate and a rank. Review the audit with the manager and one support lead; the support lead usually knows which gaps cost the most time, and their agreement makes the day-90 priorities easier to defend.
What the team owes the new writer
- Early access to features in a test environment, not screenshots at the last minute.
- Named reviewers with agreed turnaround, per doc set.
- Access to support and search data so priorities are based on evidence.
- A seat in planning, so docs work is scheduled with the release.
Common mistakes
| Mistake | Result | Fix |
|---|---|---|
| Writing from specs without using the product | Steps that do not work | Test every procedure |
| Restyling everything first | Weeks spent with no gain for users | Fix what the evidence ranks highest |
| Docs added to the release at the end | Late or rushed content | Docs work planned with the feature |
| No review owner | Inaccurate pages published | Name an SME per doc set |
Adapting the plan
- API and developer documentation: add the reference generation process, code sample testing and a review with the developer relations or platform team.
- Hardware and regulated products: add the document control procedure, labeling review and the records the quality system requires.
- Docs that share design work: coordinate on interface text with the UX designer so on-screen text and docs use the same terms.
- Release-heavy teams: coordinate test environments with the QA engineers, who often see features first.
Questions people ask
What should a new technical writer do in the first week?
Use the product the way a new customer would, with the existing documentation, and note every place where the docs and the product disagree. Get the documentation toolchain working, read the style guide, and ship one or two small fixes through the normal review process so they learn how changes are published.
How do you measure a technical writer's first 90 days?
By documentation delivered on time with releases, review findings falling over time, support tickets or questions that point to missing or wrong docs, and one doc set owned with a clear backlog. Page views alone say little, so pair them with search terms and support data. Compare against the team's own history.
Who should review a technical writer's work?
Two kinds of reviewers: a subject matter expert, usually an engineer or product manager, for accuracy, and a writer or editor for clarity and style. The plan should name both for each doc set and agree how fast reviews come back, because slow reviews are the most common reason docs miss a release.
When should a technical writer own a doc set?
Usually by the third month, after documenting at least one feature release with the team. Owning a doc set means keeping its backlog, tracking upcoming releases that affect it and deciding what to fix first, not only writing new pages when asked.