Promo-docs: The Documentation Site Built to Win the Migration War

Inside a Mintlify knowledge base that turns roster imports, activation setup, and AI summaries into a playbook for switching staffing agencies onto Promo.

8 min read • View on GitHub • More from vladartym

A wide scene shows a staffing agency desk covered with paper rosters, printed CSV sheets, a laptop, and a phone. The papers stream into a clean digital dashboard on the right, showing how the docs frame Promo as a system for turning messy onboarding into structured workflow. — Promo-docs treats migration as the product story, not as a footnote to the docs.

Key Takeaways

Promo-docs turns documentation into switching infrastructure instead of post-sale support.
The repo is organized around two audiences, but it pushes them through one shared operational loop.
Its strongest moat is migration, because messy roster data gets normalized before it becomes a product problem.
AI is used surgically, only where setup and summarization would otherwise burn operator time.

Most SaaS docs explain a product after the sale. Promo-docs does something sharper. It tries to make the sale itself feel less risky.

The repository documents Promo, a staffing platform for agencies and brand ambassadors, but the real story is in the workflow. Everything points to the same bet: if you can tame onboarding, migration, and field reporting, you can beat better-known tools that leave that work to spreadsheets.

That is why this repo feels like product surface, not a content library. The content is split by role, the navigation follows the job to be done, and the examples keep returning to the same operational pain.

This is not help content. It is switching infrastructure.

Promo-docs is built to reduce friction before a customer ever reaches the core app. The pages read like setup paths, but they behave like a conversion layer.

That matters because staffing software lives or dies on adoption. If a team cannot import a roster, understand a task, or trust the reporting loop, it will quietly keep the old system and the new sale will stall.

The repo splits the world into agencies and ambassadors

Promo is built around two users who move through the system differently. Agencies create activations, assign tasks, and read results. Brand ambassadors receive the work, submit structured responses, and stay inside a simpler mobile-first loop.

The docs reflect that split instead of flattening it. That matters, because a platform built for both sides needs two kinds of clarity: one for operators, one for participants.

The same roster can arrive four different ways, but Promo wants every path to collapse into one clean internal model.

The sharpest docs in the repo are not the feature pages. They are the migration pages. Invite link, single entry, bulk CSV, and platform migration all collapse into one promise: whatever ugly roster you already have, Promo will normalize it.

Close on a pair of hands moving columns from a chaotic spreadsheet into tidy mapping slots. The scene explains how Promo treats roster migration as field-by-field normalization, not a generic file upload. — The moat is not upload. It is translation from one messy roster shape into another.

The docs hint at a real ETL layer underneath the product. Photo URLs are accepted, competitor column names are mapped, and migration from legacy tools is treated as a normal path instead of an edge case.

Activations, tasks, and results form a closed loop

Once a roster is inside, the product starts behaving like a loop. An activation creates the work. A task packages the request. A form collects the response. Results feed back to the agency.

That is the important detail. Promo is not just storing records. It is turning field operations into a repeatable transaction.

An ambassador submits a form from a phone while the response flows into a summary block on a dashboard. The image shows the feedback loop that turns field activity into structured results an agency can act on. — Promo treats field reporting as a loop, not a pile of messages.

That loop is what makes the docs feel operational instead of promotional. They teach a rhythm, not just a feature list.

AI is used where the paperwork hurts most

AI appears only where the paperwork hurts. Quick Create with AI turns a pasted email into activation fields. AI Summary turns open-ended responses into something an agency can skim.

That restraint is the point. The feature is not a gimmick layer. It is a translation layer for the two places humans waste the most time: setup and synthesis.

A hand pastes a long messy activation brief into a form while clean fields snap into place beside it. The picture explains how Promo uses AI to turn unstructured instructions into a ready-to-run activation. — AI is doing translation work, not decorative work.

Mintlify gives a small team a large-company surface

The stack underneath is plain, and that is a compliment. docs.json holds the navigation, MDX carries the content, and the folder structure mirrors the app instead of fighting it.

The result is a documentation site with enough polish to feel product-grade, without needing a custom docs application. Mintlify gives a small team the surface area of a larger one.

A neat stack of MDX pages and component cards morphs into a polished documentation page on a laptop screen. The scene shows how content becomes interface when the docs are treated like software. — The repository uses content structure as a product surface, not as a publishing afterthought.

docs.json
index.mdx
agencies/
  adding-to-roster.mdx
  create-activation.mdx
  tasks/
    create-task.mdx
    manage-results.mdx
ambassadors/
images/

That structure is the quiet advantage. The docs are not just written in MDX, they are organized like the product itself.

What Promo-docs does better than generic SaaS docs

Compared with generic SaaS docs, Promo-docs is optimized for adoption, not just explanation.

Dimension	Generic SaaS docs	Promo-docs
Primary job	Explain features after launch	Reduce switching friction before launch
Audience model	One generic reader	Two distinct workflows, agencies and ambassadors
Import story	CSV upload buried in a guide	Roster migration treated as a core product path
AI role	Glossy feature mention	Practical parsing and summarization at the point of pain
Information design	Static article stack	Persona tabs and workflow-centered navigation
Business signal	Support content	Conversion infrastructure

That is the real difference. Most docs answer questions. This repo tries to absorb uncertainty before it becomes a sales objection.