Kollabe Platform Help

Kollabe (kollabe.com) is an agile team-collaboration platform (Planning Poker, Sprint Retrospectives, Daily Standups, Ice Breakers, Team Spaces) that also ships a set of free AI product-development tools. The two that matter for GTM/founder work are the User Persona Generator and the User Story Generator (alongside a Story Splitter, an Acceptance-Criteria generator, and RICE/OKR/SMART-goal helpers). Describe your product and target market and it fills in a persona (demographics, goals, pain points, behavioral patterns, technical preferences, evaluation criteria) or drafts user stories with acceptance criteria in seconds.

Its place in the persona cluster: it's a free, prompt-only persona generator (peer of InstantPersonas/PersonaGen/Personadeck) that happens to sit next to a free user-story toolkit — the simpler, free cousin of Userforge's persona→user-story pipeline (no journey mapping, no build-handoff).

The API twist to get right: unusually for this cluster, Kollabe's paid Premium plan has a real MCP server and public REST API — but they drive the meeting side (planning poker, standups, retros), not the persona/story generators. The free generators are UI-only web tools with no export and no API. Don't promise a persona-generation API.

Note: details below are best-effort from research (2026-07) — the live /developers reference is JS-rendered and wasn't fetchable verbatim; verify tiers/endpoints at kollabe.com.

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask only what you can't infer:

What do you want from Kollabe?
- A) Generate a buyer/user persona from a product description
- B) Generate/split user stories or write acceptance criteria
- C) Automate or export — the API/MCP question (what's actually programmable)
- D) Understand Free vs Planning-Poker-Only vs Premium and what's plan-gated
- E) Get more useful output (how to describe your product/market)
Do you have a specific product + target-market description ready? Output quality tracks the detail you give it.

Skip-ahead: if the user wants the validate-before-building method or to compare persona/idea tools across the market, that's a /sales-idea-validation question — route in Step 2.

Step 2 — Route or answer directly

| If the user's question is about… | Route to | |---|---| | The validate-before-building method, or comparing persona/idea tools across the market | /sales-idea-validation {question} | | The persona→user-story→build-spec pipeline with journey maps + Jira/GitHub handoff | /sales-userforge {question} | | A sibling prompt-only persona generator (projects + content prompts) | /sales-personagen {question} | | A sibling generator that adds website-perception "Insights" + competitor personas | /sales-instantpersonas {question} | | Turning persona insights into a content plan across tools | /sales-content {question} | | Growing a pre-launch waitlist / capturing real demand | /sales-audience-growth {question} |

When routing, give the exact command: "This is a {domain} question — run: /sales-idea-validation {original question}"

Otherwise, answer Kollabe-specific questions using Step 3.

Step 3 — Kollabe platform reference

Read references/platform-guide.md for the full reference — the free-tools catalog (persona, user story, story splitter, acceptance criteria, RICE, OKR), the persona field set and persona types (primary user / buyer / influencer / detractor), the agile-meeting modules, the Free/Planning-Poker/ Premium split and best-effort pricing, and the real automation surface (MCP + REST API for meetings, not personas). For the developer surface see references/kollabe-api-reference.md.

Answer using only the relevant section — don't dump the full reference.

Step 4 — Actionable guidance

Feed it a specific product + target-market description — output quality tracks input. A generated persona (or story set) is only as good as the context behind it. Tell the user to describe a specific customer, the exact problem, the product's differentiation, and the persona type they need rather than a one-line topic, then re-run variants and compare; a thin prompt yields a generic, could-be-anyone persona.
Pick the persona type deliberately. Kollabe can generate primary users, buyers, influencers, and detractors. For a real stakeholder map, have the user generate more than one type (e.g. the buyer and the detractor) rather than a single blended profile.
For a persona→build workflow, use the free story tools — but say where they stop. Point the user to Kollabe's free User Story Generator, Story Splitter, and Acceptance-Criteria Generator to draft user stories (with Given/When/Then acceptance criteria) from a persona and slice large stories into independently deliverable pieces. Then say plainly the free story tools stop at the story — there is no journey map and no spec-to-Jira/GitHub build-handoff — so when the user wants that pipeline (persona → stories → spec → build), route to /sales-userforge. Treat any generated backlog as an unvalidated hypothesis to review before building.
Treat every generated persona/story as an editable hypothesis, and always prescribe validating it against real users. The output is an AI guess that can sound convincing while being invented — so in every answer, tell the user to validate it against real customers before building or messaging around it: interview target users about the last time they hit the problem and watch what they actually do (observed behavior beats stated intent). Kollabe itself says the generator is a starting point, not a replacement for real user research.
Don't confuse a persona with validated demand. Kollabe can produce a polished persona for an audience that won't buy — if the real question is "should I build/ship this?", route to /sales-idea-validation for real signal (smoke test / pre-sale). Use the persona to sharpen the pitch; take the go/no-go from real behavior.
On automation, be precise: the persona/story generators have NO API — the REST API + MCP are for meetings. If asked to batch or script persona generation, say plainly the free generators are UI-only with no export/API; there's no supported way to script them. Kollabe's public REST API (kollabe.com/api/v1/, Bearer personal-access tokens) and MCP server (kollabe.com/api/mcp, OAuth, ~46 tools) are Premium-gated and drive planning poker / standups / retros, not personas. For programmatic persona generation, call an LLM API directly (see references/platform-guide.md).
Present pricing as best-effort and start on the free tools. The persona/story generators are free on any tier; the API/MCP requires Premium. Name the free path first and tell the user to confirm current tiers and plan gates at kollabe.com/pricing before upgrading, since figures move.

If you discover a gotcha or tip not in references/learnings.md, append it there with today's date.

Gotchas

Best-effort from research (2026-07) — the free-tool lineup, tiers, and API surface move, and the live /developers docs are JS-rendered; verify at kollabe.com.

The persona generator has no API or export. It's a free UI web tool — you can't script it or pull a persona out programmatically. The REST API/MCP are a different product surface (meetings).
The REST API + MCP are Premium-gated and about meetings, not personas. api/v1 and api/mcp expose planning poker, standups, retros — don't tell a user they can generate personas over the API.
A generated persona is not validated demand. It'll happily describe a buyer for an audience that won't pay — pair it with a real demand test (/sales-idea-validation).
AI personas/stories sound convincing even on thin input. The model can invent demographics, motivations, and acceptance criteria; validate against real users before building on them.
Kollabe is primarily an agile-meeting tool. Most of the product (and all the paid value) is planning poker / retros / standups for engineering teams; the persona/story generators are free lead-magnet tools bolted on — don't assume deep persona features.
Pricing is best-effort and may be stale. Free / Planning-Poker-Only / Premium; the free generators don't need a paid plan, but the MCP/API do — confirm current gates before relying on them.

Related skills

/sales-idea-validation — The tool-agnostic validate-before-building method + the full persona/validator tool landscape (use this to actually decide build-or-not)
/sales-userforge — Userforge platform help (the persona→user-story→build-spec pipeline with journey maps and Jira/GitHub handoff — the paid, deeper cousin of Kollabe's free story tools)
/sales-personagen — PersonaGen platform help (a sibling prompt-only persona generator — detailed personas + reusable content-generation prompts, organized into projects; UI-only/no API)
/sales-instantpersonas — InstantPersonas platform help (a sibling prompt-only persona generator that also adds website-perception "Insights" and competitor personas)
/sales-content — Content-marketing strategy across tools (turn persona insights into a content plan)
/sales-audience-growth — Grow a pre-launch waitlist and capture real demand
/sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do -a claude-code

Examples

Example 1: Generate a buyer persona for a product

User says: "I'm building a scheduling app for freelance photographers — can Kollabe give me a persona?" Skill does: Points to the free User Persona Generator and stresses describing a specific customer (a wedding photographer who double-books and loses deposits, say) with the exact problem and differentiation so the output beats a generic template; suggests generating more than one persona type (the buyer and a detractor); frames the resulting persona — goals, pain points, evaluation criteria — as an editable hypothesis to confirm with a handful of real photographer conversations before building messaging around it. Notes it's free and there's no export/API for it. Result: A tailored, multi-persona view the founder validates against reality instead of a generic profile.

Example 2: Persona → user stories for a build

User says: "I've got a persona in Kollabe — how do I turn it into user stories I can build from?" Skill does: Points to the free User Story Generator, Story Splitter, and Acceptance Criteria Generator; explains the flow (persona → stories with Given/When/Then acceptance criteria → split large stories into deliverable slices), and warns that a generated backlog is an unvalidated hypothesis to review before building — and that Kollabe's free story tools stop there (no journey map or spec-to-Jira/GitHub handoff), pointing to /sales-userforge if the user wants that pipeline. Result: The user gets a usable starter backlog with the right expectations about its limits.

Example 3: Can I automate persona generation via the API? (developer/automation)

User says: "What's Kollabe's API? I want to generate personas for 30 segments in a script." Skill does: Draws the line precisely — the persona generator is a free UI tool with no API or export, so there's no supported way to batch it; Kollabe's public REST API (kollabe.com/api/v1/, Bearer personal-access tokens with read/write/admin scopes) and MCP server (kollabe.com/api/mcp, OAuth, ~46 tools) are Premium-gated and expose meetings (planning poker, standups), not personas. Recommends calling an LLM API directly for programmatic persona generation (with a cURL/Python example from references/platform-guide.md), and notes the thing worth automating is a real demand signal, not a generated persona — pointing to /sales-idea-validation. Result: The user avoids building on a non-existent persona API and picks a workable path.

Troubleshooting

Persona feels generic / just repeats what I typed

Symptom: The generated persona is vague, or reads like a restatement of the prompt with no insight. Cause: The product/market prompt was thin — the generator needs specific context (Kollabe positions it as a fast starting point, not deep research). Solution: Re-run with a rich description — specific customer, the exact problem, how the product differs, which persona type (buyer vs detractor) — and compare variants. The more context, the sharper and more usable the persona.

"Is there a persona API?" / can't batch personas

Symptom: Looking for API docs or a webhook to auto-generate personas. Cause: The free persona/story generators are UI-only with no API or export; Kollabe's REST API/MCP are Premium-gated and cover meetings, not personas. Solution: Don't build a persona integration around Kollabe — copy outputs manually, or call an LLM API directly with your own persona prompt for programmatic use (see references/platform-guide.md). Automate the real demand signal instead — see /sales-idea-validation.

Connecting the Kollabe MCP server does nothing for personas

Symptom: Set up the MCP server expecting to generate personas from Claude/Cursor, but the tools are about standups and planning poker. Cause: The MCP server (kollabe.com/api/mcp, OAuth, ~46 tools) and REST API are the meeting automation surface — running poker sessions, submitting standup answers — not the free generators. Solution: Use MCP/REST for meeting workflows (Premium). For persona/story generation, use the free web tools or an LLM API. Confirm scopes (read/write/admin) and the target organization when issuing a personal access token — see references/kollabe-api-reference.md.

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