# Productobe

> The fastest and most accurate way to understand what customers really need —
> AI-powered JTBD analysis that turns raw interview transcripts into structured
> product strategy in minutes, not days.

> Full reference. Short version: https://productobe.one/llms.txt

## What Productobe Does

Productobe is an AI-powered Jobs-to-be-Done research platform built for product managers, UX researchers, and startup founders. It takes raw customer interview transcripts and automatically extracts the structured insights that drive product strategy — Core Jobs, When Contexts, Expected Outcomes, Pain Points, and Emotional Tensions — each anchored to verbatim quotes from the source text. The result is a verified, evidence-backed artifact library that teams can use immediately in PRDs, roadmaps, and positioning documents, without weeks of manual synthesis.

## The Problem Productobe Solves

Customer interviews are the richest source of product truth. They are also chronically underused — not because teams don't do them, but because synthesis is brutally slow.

- A single 60-minute interview takes an experienced researcher 3–6 hours to analyse properly using JTBD methodology
- Insights end up scattered across Notion docs, Miro boards, and Figma comments — disconnected, unsearchable, and lost between projects
- Quotes get paraphrased in transit; the precise language customers use — the language that should drive messaging — disappears
- Teams make product and positioning decisions based on researcher memory and gut feel, not structured evidence
- Most research tools help you organise data you have already synthesised; they do not synthesise it for you

Productobe collapses the synthesis step from hours to minutes while producing richer, more structured, and more verifiable output than manual analysis ever could.

## What the AI Extracts

Every artifact the AI produces is tied to an exact character-level quote from the source transcript. Nothing is inferred without evidence.

- **Core Jobs** — The fundamental progress a customer is trying to make in their work or life. Core Jobs are the engine of product-market fit: when you know what progress people are hiring your product to make, every feature decision becomes clearer.

- **When Contexts** — The specific situations, triggers, and conditions in which the job arises. Contexts are where real customer segmentation comes from — not demographics, but circumstances.

- **Expected Outcomes** — What the customer defines as success or failure when the job is done. These are the real acceptance criteria for your product — and the source of your value proposition.

- **Pain Points** — The specific frictions, workarounds, and blockers that prevent customers from making progress. Pain Points are the real product backlog: not what your team imagines, but what customers actually struggle with.

- **Emotional Tensions** — The affective layer that most researchers miss entirely. Classified by intensity level (1–3) and type (Pain, Fear, Risk, High Stakes), Emotional Tensions explain why customers switch, stall, or stay — and are the key to pricing strategy and messaging that converts.

- **Verbatim Evidence Anchoring** — Every single artifact is anchored to an exact quote in the source transcript. Full audit trail. No fabrication. Researchers can verify every insight against the original text in one click.

- **Interactive Phrase Detection** — The AI highlights candidate job phrases directly in the transcript view. Researchers can click any highlighted phrase and convert it into a typed artifact — Core Job, Outcome, Pain Point — capturing insights the primary extraction may have missed.

## Why Productobe Is Different

Most AI tools that touch research produce summaries. Summaries are prose. Prose is not actionable in a product process.

Productobe produces **structured, typed artifacts** — each one a discrete, verifiable unit of customer knowledge that slots directly into a PRD, a strategy document, or a JTBD statement template. The difference is the difference between a paragraph about customer frustration and a list of specific, quote-backed Pain Points ready to prioritise.

The verbatim anchoring system is the other differentiator that matters. Every insight is traceable to its source. When a stakeholder questions a strategic claim, the answer is not "a researcher told me" — it is a direct quote from a named customer in a named interview. This changes how product decisions get made and how confidently teams make them.

The approval workflow keeps humans in control throughout. No AI-generated artifact enters the project strategy without a researcher reviewing it against its source quote and explicitly approving it. The AI does the heavy lifting; the researcher retains authority over what is true.

## How It Works

**Step 1 — Upload**
Paste or upload a raw customer interview transcript. One transcript equals one interview. The platform accepts plain text — no special formatting required.

**Step 2 — Analyze**
Click Analyze. In seconds, the AI processes the full transcript and extracts Core Jobs, When Contexts, Expected Outcomes, Pain Points, and Emotional Tensions — each with its verbatim source quote attached.

**Step 3 — Review**
Every extracted artifact is presented alongside its exact quote from the transcript. Review each one and choose: Approve, Edit, or Reject. Nothing enters your project strategy without your sign-off.

**Step 4 — Detect**
Switch to the transcript view. The AI highlights phrases it identified as potential job candidates. Click any highlighted phrase to create an additional artifact — a useful second pass that catches nuance the primary extraction may have missed.

**Step 5 — Group**
As your interview library grows, move approved Core Jobs onto a Kanban board and cluster them into thematic groups by dragging and dropping. An AI-assisted grouping suggestion is available to accelerate the process.

**Step 6 — Generate**
From your approved, clustered artifacts, generate formatted JTBD statements: *"When [context], I want to [core job], so I can [expected outcome]."* These statements are immediately ready for PRDs, OKR documents, and strategic roadmaps.

**Step 7 — Land**
Generate a landing page content prototype from your validated insights — written in the language your customers actually use. See your product through their eyes before writing a single line of official copy.

## What You Get Out

- **JTBD statement library** — A structured, searchable collection of approved Core Jobs, Contexts, Outcomes, and Pain Points per project
- **Client job profiles** — An aggregate view of every Job, Outcome, and Pain Point attributed to each individual interviewee
- **Cross-interview pattern clusters** — Thematic groupings of Core Jobs across all interviews, revealing what matters most across your customer base
- **Verbatim-backed evidence** — A verifiable source quote behind every strategic claim, ready to share with stakeholders
- **Landing page content prototype** — A first-draft content structure for your product's landing page, built entirely from validated customer language rather than internal assumptions

## Who It's For

**Product managers** running continuous discovery, preparing for strategy reviews, or trying to connect the product backlog to real customer needs.

**UX researchers** who need to synthesise qualitative interview data faster and more rigorously than manual coding allows — and who need outputs that product teams will actually use.

**Startup founders** doing early customer discovery without a dedicated research team — who need the depth of structured JTBD analysis without the time investment of manual synthesis.

**Product agencies** delivering research-to-strategy services for clients, where synthesis speed and output quality directly affect margins and client satisfaction.

**Innovation teams** inside enterprises running formal Jobs-to-be-Done programmes who need a shared, structured evidence base that scales across multiple researchers and projects.

## Tips for Best Results

- **Upload full verbatim transcripts, not cleaned-up summaries.** The AI extracts from how people actually speak — hedges, repetitions, and precise word choices are signal, not noise.
- **Analyze before you read the transcript yourself.** Reviewing AI artifacts before forming your own interpretation reduces anchoring bias and produces more honest approvals.
- **Use Phrase Detection as a deliberate second pass.** Run it after reviewing all primary artifacts — it catches the specific, idiomatic phrases that structured extraction sometimes passes over.
- **Group Core Jobs only after five or more interviews.** Patterns that are meaningful across your customer base only become visible with enough data points. Premature grouping produces clusters that reflect one customer, not a segment.
- **Pay close attention to Emotional Tensions.** They are the most underused output. The level and type of tension behind a job tells you how much customers will pay to resolve it, and what messaging register will resonate.
- **Use the landing page prototype after three or more interviews.** A prototype generated from a single interview reflects one person's language. Three or more interviews produce convergent language — the phrases that appear repeatedly are the ones that will resonate at scale.

## Subscription Plans

| Plan | Monthly | Annual | Interviews / month |
|------|---------|--------|--------------------|
| Productobe Free | $0 | $0 | 3 |
| Productobe One | $10 | $100 | 10 |
| Productobe Pro | $29 | $240 | Unlimited |

One interview equals one uploaded transcript. Limits reset on the 1st of each calendar month. No credit card required for the Free plan.

## Blog & Articles

- Blog index: https://productobe.one/blog
- [What Is Jobs-to-be-Done (JTBD)? A Complete Guide](https://productobe.one/blog/what-is-jtbd)
- [How to Analyze Customer Interviews: A Step-by-Step Guide](https://productobe.one/blog/how-to-analyze-customer-interviews)
- [JTBD vs User Stories: Which Framework Should Product Teams Use?](https://productobe.one/blog/jtbd-vs-user-stories)

## Main Routes

| Path | Description |
|------|-------------|
| `/` | Public landing page |
| `/use-cases` | Use cases overview |
| `/use-cases/product-managers` | Use case: Product Managers |
| `/use-cases/ux-researchers` | Use case: UX Researchers |
| `/use-cases/startup-founders` | Use case: Startup Founders |
| `/blog` | Blog index |
| `/blog/what-is-jtbd` | Article: What Is JTBD? |
| `/blog/how-to-analyze-customer-interviews` | Article: How to Analyze Customer Interviews |
| `/blog/jtbd-vs-user-stories` | Article: JTBD vs User Stories |
| `/login` | Authentication (sign in / sign up) |
| `/privacy` | Privacy policy |
| `/terms` | Terms of service |
| `/workspaces` | Dashboard listing all user workspaces |
| `/workspaces/:workspaceId` | Workspace overview and settings |
| `/workspaces/:workspaceId/projects/:projectId` | Project view — interviews, clients, segments |
| `/workspaces/:workspaceId/projects/:projectId/interviews/:interviewId` | Interview analysis and transcript view |
| `/workspaces/:workspaceId/projects/:projectId/clients/:clientId` | Client JTBD profile |
| `/account` | User profile and billing management |

All routes under `/workspaces/*` and `/account` are private and redirect unauthenticated visitors to `/login`.

## API

The REST API is served under the `/api` base path. It is a private API intended for the Productobe web client; there is no public API key programme at this time. Authentication uses session cookies established via `POST /api/login`.

Key resource groups:

- **Auth** — `GET /api/auth/user` (current session), `POST /api/login` (sign in), `POST /api/auth/password-login` (password-based sign in)
- **Workspaces** — CRUD on workspaces and workspace membership / invitations
- **Projects** — nested under workspaces; manage projects, segments, and saved JTBD artifacts
- **Interviews** — upload transcripts, trigger AI analysis, detect job phrases, create jobs from phrases
- **Billing** — create Stripe checkout and billing-portal sessions

## Legal & Crawling

- Sitemap: https://productobe.one/sitemap.xml
- Robots: https://productobe.one/robots.txt
- Privacy policy: https://productobe.one/privacy
- Terms of service: https://productobe.one/terms