Scriptonia is an AI-native product management workspace that turns rough ideas into production-ready PRDs, architecture blueprints, and engineering tickets in under 30 seconds. It is often described as the 'Cursor for Product Managers.' It is designed for product managers, founders, engineering leads, and startup teams.

How fast does Scriptonia generate a PRD?

Scriptonia generates a complete PRD — including objective, problem statement, user stories, success metrics, technical requirements, and timeline — in under 30 seconds using frontier AI models.

Does Scriptonia integrate with Linear, Notion, and Jira?

Yes. Scriptonia exports directly to Linear, Notion, GitHub Issues, Jira, Confluence, and Slack. It can also export to Markdown for use with any other tool.

Is there a free plan?

Yes. Scriptonia's free plan includes 30 credits per month, unlimited PRDs, Markdown export, and a public share link. No credit card required. You can also try it without creating an account at scriptonia.dev/try.

What AI models does Scriptonia use?

Scriptonia Pro and Team plans give access to multiple frontier AI models including Claude Sonnet (Anthropic), Gemini 2.5 Flash (Google), Grok 4 (xAI), DeepSeek R1, and Kimi K2. The free plan uses Grok 4 Fast.

Who is Scriptonia for?

Scriptonia is built for product managers, founders, engineering leads, and startup teams who need to move from idea to specification quickly. It removes the hours of manual writing that traditionally goes into a PRD.

A PRD (Product Requirements Document) is a specification that describes the purpose, features, functionality, and behavior of a product to be built. Scriptonia automatically generates structured PRDs from plain-language product ideas.

STRATEGY

B2B product management: the complete guide to building for business customers

B2B product management requires different discovery methods, different success metrics, and a different relationship with sales than B2C. Here's the complete playbook.

Jul 7, 2026Updated: Jul 7, 20267 min readBy Scriptonia

In B2B product management, the customer's business success is the product's success metric. A feature that individual users love but doesn't improve business outcomes gets cancelled at renewal. This single fact changes how B2B PMs do discovery, define success metrics, and prioritize features.

"The question I ask before every B2B feature: 'Does this make our customer's team better at their job, or does it make our product look better on a demo?' Those two things overlap less than most PMs think."
— Jess O., Principal PM at a B2B enterprise platform

B2B vs. B2C product management: key differences

Dimension	B2C PM	B2B PM
User = buyer?	Usually yes	Often no
Discovery source	User interviews, analytics	Customer advisory boards, support tickets, sales calls
Success metric	Engagement, retention	Business outcome improvement (time saved, revenue influenced)
Feature requests	User feedback	Sales/CS requests + user requests
Roadmap driver	Usage data + user research	Deal blockers + renewal risks + usage data
Definition of done	User can use it	Admin can configure it, user can use it, security approved

B2B discovery: where to find real product insights

Customer Advisory Boards (CABs): Quarterly sessions with 10–15 power users from your best customers. CABs surface strategic problems before they become churn signals. The PM facilitates; the agenda focuses on customer workflows, not feature demos.

Win/loss analysis: Why did prospects choose you over alternatives? Why did they choose alternatives? Win/loss interviews with recently closed and recently lost deals are the highest-signal input to B2B roadmap prioritization.

Support ticket mining: The top 10 support categories represent real friction in the product. PMs who don't review support tickets regularly are missing systematic user pain signals.

B2B success metrics that actually measure business impact

Beyond feature adoption: ROI metrics (time saved per user × users × weekly usage), workflow completion rates (% of users completing a full workflow vs. partial use), and business outcome proxies (revenue generated, reports shared, decisions made using product outputs).

Frequently asked questions

What is B2B product management?

B2B product management is the practice of building products for business customers — where the buyer is an organization, not an individual, and success means improving business outcomes for the customer's team. B2B PM differs from B2C in that discovery must serve both buyer needs (admin controls, security, ROI) and user needs (workflow fit, ease of use), and success metrics focus on business outcomes rather than engagement.

How is B2B product discovery different?

B2B discovery combines three sources that B2C PM rarely uses: Customer Advisory Boards (structured quarterly sessions with power users from top accounts), win/loss analysis (understanding why deals are won or lost against specific competitors), and support ticket mining (the top 10 support categories are systematic friction signals). User interviews are still important but are less representative in B2B because there are fewer users per account.

How do you handle feature requests from sales in B2B product management?

Evaluate sales requests against three criteria: how many other customers would benefit (not just this one account), whether it addresses a structural problem or a one-off use case, and whether it's a deal blocker for future deals of the same type. Sales requests are valuable signals — they come from prospect conversations that the PM doesn't have access to. But 'this one customer wants it' is not a sufficient reason to build; 'this blocks 40% of our target-segment deals' is.

What are the most important B2B product metrics?

The B2B metrics that predict renewal and expansion: feature adoption rate among power users (not all users — power user retention drives renewal), NRR (Net Revenue Retention — are customers paying more each year?), time-to-business-outcome (how quickly does the product deliver measurable value?), and expansion rate (% of accounts that upgrade or buy additional seats). Support ticket volume per active user is a leading indicator of churn risk.

How do you build a B2B product roadmap?

Weight roadmap inputs from three sources: deal blockers from sales (features blocking deals with target-segment customers), renewal risks from customer success (features that churned customers point to), and usage data from analytics (the features that separate retained customers from churned ones). Combine these with user research to produce a roadmap that's commercially grounded and user-informed.

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