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Craft.io is an AI-powered, end-to-end product management platform that helps product teams connect strategy, planning, and execution in one place. It provides tools for prioritization, capacity planning, roadmapping, and stakeholder alignment, with a unique Guru layer that delivers product-management best practices and Guru AI for instant insights, aiming to make teams more effective as well as organized. The platform covers the product lifecycle: capture and prioritize ideas, plan capacity, build roadmaps, and align stakeholders, while integrating with the developer and design tools teams already use. Its guided best-practices layer differentiates it from pure roadmapping tools, coaching teams toward better product decisions rather than just providing a canvas. Craft.io prices per editor, starting at 19 dollars per editor per month on annual billing (24 monthly) for the Starter plan, rising to 79 dollars per editor per month (99 monthly) for the Pro plan, with additional discoverable tiers and a 20 percent annual discount; there is a 14-day trial and no free tier. It integrates with Jira, Azure DevOps, GitHub, GitLab, Figma, Miro, Salesforce, Slack, and more. Aimed at product teams wanting a complete platform, it competes with Aha!, ProductPlan, Productboard, airfocus, and Roadmunk.
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What is Centric PLM? Centric PLM is PLM for fashion and consumer goods software offering product lifecycle management software for fashion, retail, food and consumer goods. Centric PLM helps fashion and consumer goods brands work more efficiently and achieve better outcomes. Key features of Centric PLM Product development Line planning Sourcing Assortment Analytics and reporting Integrations with SAP, Oracle, Microsoft 365 and more Who uses Centric PLM? Centric PLM is built for fashion and consumer goods brands. It suits teams that want product development without spreadsheets and disconnected tools. Why choose Centric PLM? Compared with alternatives like Backbone PLM, Centric PLM differentiates on product development. Pricing is quote-based and scoped to your usage and team size.
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UserJot is a product feedback platform that combines feedback boards, a public roadmap, and a changelog in one tool, marketed as free forever for the core loop with unlimited posts and unlimited users. Built for bootstrapped and early-stage SaaS teams, it aims to cover the full feedback-to-roadmap-to-changelog cycle at a fraction of the cost of enterprise feedback tools. The platform uses AI to automatically organize feedback, detect duplicates, and categorize submissions, and offers an auto-updating roadmap that syncs with feedback status changes plus an AI-powered changelog that writes posts, pulls in shipped feedback, and notifies the users who requested it - closing the feedback loop automatically. Anonymous feedback removes the sign-up friction that causes users to abandon feedback portals. UserJot is free forever for feedback boards, roadmaps, and changelogs with unlimited posts and users, with paid plans - Starter at 29 dollars per month and Professional at 59 dollars - gating features growing teams need like custom domains, private boards, integrations, and SSO. By keeping unlimited users free and charging only for those features, it turns a 200-plus dollar per month problem into a 29 to 59 dollar one. Aimed at bootstrapped SaaS teams, it competes with Canny, Fider, Featurebase, Nolt, and Noora.
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Savio is a customer feedback tracking tool built for B2B SaaS teams to centralize feature requests and product feedback from every channel and prioritize what to build. It pulls feedback from support tools, sales conversations, and other sources into one place, attaches it to customer and revenue data, and helps product teams decide what to build based on business impact rather than the loudest voice. The platform is designed for customer-facing teams to log feedback effortlessly and for product teams to prioritize with context - who asked, what plan they are on, and how much revenue is tied to a request. It integrates with help desks and CRMs so support and success can push feedback without leaving their tools, and it closes the loop by notifying customers when requested features ship. Savio charges per paid internal seat - Owners, Admins, and Managers - with unlimited free contributors, so cost scales with your product and CS team rather than tracked end-users. Plans run from around 39 dollars per month for Essential up to 249 dollars for Business, plus 23 to 49 dollars per additional paid seat, with a 14-day free trial and no free plan. Aimed at seed to growth-stage B2B SaaS, it competes with Canny, Productboard, Cycle, and Productlane.
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Lyssna, formerly UsabilityHub, is a user research platform for running quick, affordable usability tests, surveys, preference tests, five-second tests, card sorts, and prototype tests, with access to a participant panel for fast results. It helps design and product teams validate ideas, compare options, and test usability early and often without the cost and time of heavier research programs, making evidence-based decisions accessible. Lyssna is used by designers, product managers, and researchers that want lightweight, rapid user research to inform design and product decisions. Its variety of test types covers common research needs, its participant panel provides quick responses, and its ease of use makes research accessible to non-researchers. For teams wanting fast, affordable user testing, Lyssna is a popular platform.
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Noora is an all-in-one product feedback platform built for SaaS teams, combining feature voting, a public roadmap, a changelog, and NPS surveys in a single connected tool. Its key advantage is that all four components work together - when you ship a feature users requested, Noora automatically notifies everyone who voted for it, closing the feedback loop without manual work. The platform lets users submit and vote on feature requests, view a public roadmap of what is planned and in progress, read a changelog of shipped features, and respond to NPS surveys, with anonymous feedback supported on all plans to remove sign-up friction. Because the components are connected, feedback flows into the roadmap and out to the changelog automatically. Noora offers a Startup plan at 29 dollars per month (14 dollars billed annually) with feedback boards, public roadmap, changelog, and NPS surveys, a Growth plan at 59 dollars (29 annual) adding user segmentation, private boards, custom domain, Jira integration, and Segment, and an Enterprise plan at 129 dollars (64 annual) with custom CSS and white-labeling. It integrates with Jira, Intercom, Segment, and thousands of tools via Zapier. Aimed at SaaS teams wanting a connected feedback loop, it competes with Canny, UserJot, Featurebase, Nolt, and Frill.
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What is Harvestr? Harvestr is product feedback management software offering a product feedback hub that centralizes feedback from support and sales into prioritized insights. Founded in 2018 and based in Paris, France, Harvestr helps B2B product teams work more efficiently and achieve better outcomes. Key features of Harvestr Feedback consolidation Customer and revenue context Prioritization Portal and roadmap Analytics and reporting Integrations with Jira, Slack, Intercom and more Who uses Harvestr? Harvestr is built for B2B product teams. It suits teams that want feedback consolidation without spreadsheets and disconnected tools. Why choose Harvestr? Compared with alternatives like Productboard, Harvestr differentiates on feedback consolidation. Pricing is quote-based and scoped to your usage and team size.
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What is Jira Product Discovery? Jira Product Discovery is product discovery software offering a product discovery tool from Atlassian for capturing ideas, prioritizing and sharing roadmaps. Founded in 2022 and based in Sydney, Australia, Jira Product Discovery helps product teams on Jira work more efficiently and achieve better outcomes. Key features of Jira Product Discovery Idea capture and insights Prioritization frameworks Roadmap views Jira delivery link Analytics and reporting Integrations with Jira, Confluence, Slack and more Who uses Jira Product Discovery? Jira Product Discovery is built for product teams on Jira. It suits teams that want idea capture and insights without spreadsheets and disconnected tools. Why choose Jira Product Discovery? Compared with alternatives like Productboard, Jira Product Discovery differentiates on idea capture and insights. Pricing is quote-based and scoped to your usage and team size.
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Cycle is an AI-powered product feedback and discovery platform that unifies customer feedback and user research into a single source of truth, then uses AI to extract insights and connect them to product delivery. It is built for modern product teams that want to capture feedback from every channel, understand it quickly, and close the loop with customers when features ship. The platform is deeply integrated with Linear and GitHub, so feedback and insights link directly to engineering work, letting teams tie customer requests to the issues that resolve them and follow through at each release. AI helps process and synthesize raw feedback into structured insight, reducing the manual effort of tagging and organizing input so product decisions are grounded in real customer voice. Cycle uses tiered pricing that starts with a free plan for small teams and scales to paid plans reported starting around 120 dollars per month, with Enterprise quoted by sales; pricing reflects team size and usage. Aimed at product-led teams, especially those using Linear, it competes with Productlane, Dovetail, Enterpret, Canny, and Productboard for feedback management and product discovery.
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What is Lookback? Lookback is user research sessions software offering a user research platform for live interviews and self-guided usability tests with observers. Founded in 2013 and based in Stockholm, Sweden, Lookback helps UX researchers and designers work more efficiently and achieve better outcomes. Key features of Lookback Moderated remote interviews Self-guided tests Live observer room Highlights and notes Analytics and reporting Integrations with Figma, Zoom, Slack and more Who uses Lookback? Lookback is built for UX researchers and designers. It suits teams that want moderated remote interviews without spreadsheets and disconnected tools. Why choose Lookback? Compared with alternatives like UserTesting, Lookback differentiates on moderated remote interviews. Pricing is quote-based and scoped to your usage and team size.
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Fider is an open-source customer feedback platform that lets teams create a feedback board where users submit ideas, vote on them, and leave comments, while admins manage posts with tags, custom statuses, and filters. Free to self-host with no feature gates, it is a popular choice for teams that want a simple, transparent way to collect and prioritize product feedback. The platform covers the core of feedback management - idea submission, voting, discussion, tagging, and status management - in a clean, self-hostable app. Because it is open source, teams can run it on their own infrastructure for the cost of a small VPS, keeping full control of their feedback data, or use the managed cloud for zero DevOps. Fider is free and open source to self-host, with a managed cloud that is free under a fair-use policy of 250 feedback requests and a Pro plan at 25 dollars per month adding content moderation and unlimited feedback items. In v0.33.0 it moved to an open-core model, placing content moderation and SEO indexing behind the paid cloud tier. Fider covers voting boards, comments, and tags well but lacks a changelog, roadmap view, and AI. Aimed at teams wanting simple open-source feedback, it competes with Canny, UserJot, Featurebase, Nolt, and Noora.
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What is Techpacker? Techpacker is tech pack software software offering tech pack and product development software for fashion designers and brands. Techpacker helps fashion designers and emerging brands work more efficiently and achieve better outcomes. Key features of Techpacker Tech packs BOM Sampling Factory collaboration Analytics and reporting Integrations with Adobe Illustrator, Microsoft Excel, SAP and more Who uses Techpacker? Techpacker is built for fashion designers and emerging brands. It suits teams that want tech packs without spreadsheets and disconnected tools. Why choose Techpacker? Compared with alternatives like WFX, Techpacker differentiates on tech packs. Pricing is quote-based and scoped to your usage and team size.
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Product management software helps product teams capture ideas and feedback, prioritize what to build, plan roadmaps, and align stakeholders around a product strategy. This guide explains what product management software is, how it works, the features that matter, and how to choose the right platform for your product organization.
Product management software helps product teams capture ideas and feedback, prioritize what to build, plan roadmaps, and align stakeholders around a product strategy. This guide explains what product management software is, how it works, the features that matter, and how to choose the right platform for your product organization.
Product management software is a platform that supports the work of building the right products: gathering customer feedback and ideas, prioritizing features, defining requirements, planning roadmaps, and communicating strategy. It gives product managers a system to turn inputs and goals into a clear, prioritized plan.
The purpose is to bring rigor and alignment to product decisions, connecting customer needs and business goals to what the team actually builds, and keeping stakeholders informed. It replaces scattered spreadsheets, slide decks, and disconnected feedback with a single source of truth for product direction.
The category overlaps with roadmap, idea management, and feedback tools, and ranges from focused roadmapping apps to comprehensive product-management platforms that span feedback, prioritization, roadmaps, and analytics. It serves product managers and teams in software and increasingly in other product-driven organizations.
Product teams collect feedback, ideas, and requests from customers and internal sources, organize and prioritize them against strategy and value, and translate the winners into roadmap items and requirements. The roadmap communicates direction to stakeholders, and outcomes feed back into the next cycle.
Core components include feedback and idea capture, prioritization frameworks, roadmap planning, requirement and feature definition, stakeholder communication, and integrations with development and analytics tools. The platform links strategy to execution and back to results.
For example, a product team aggregates feature requests from sales, support, and customers, scores them with a prioritization framework against goals and effort, plans the next two quarters on a roadmap, shares it with stakeholders, and pushes selected items to the engineering backlog, keeping strategy and delivery connected.
Capturing and organizing customer feedback, requests, and ideas from many sources. Centralizing the voice of the customer ensures product decisions are grounded in real needs rather than the loudest internal opinion or guesswork.
Scoring and ranking opportunities with frameworks like RICE, value-vs-effort, or weighted scoring. Structured prioritization brings objectivity and defensibility to deciding what to build, which is the core challenge of product management.
Building and visualizing product roadmaps across time or themes. The roadmap communicates strategy and sequencing to the team and stakeholders, aligning everyone on where the product is headed and why.
Defining features, requirements, and acceptance criteria for the team to build. Clear definition connects strategy to execution, ensuring engineering builds the right thing with shared understanding.
Shareable roadmaps and updates tailored to different audiences. Keeping executives, sales, and customers informed builds alignment and trust, reducing the constant 'what's coming' questions product teams face.
Connections to development tools and product analytics to link plans, delivery, and outcomes. Integration closes the loop from roadmap to engineering backlog to usage data, grounding decisions in results.
Grounding decisions in customer feedback and structured prioritization focuses the team on the highest-value work.
A shared roadmap and clear strategy align the team, executives, and stakeholders on direction and priorities.
Prioritization frameworks make build decisions objective and explainable, reducing politics and second-guessing.
Tailored roadmaps and updates keep everyone informed, cutting down repetitive status questions and surprises.
Connecting feedback, plans, delivery, and outcomes lets teams learn and continuously improve what they build.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Roadmapping-focused tools | Building and sharing product roadmaps | SMB to enterprise | Strong visualization and stakeholder communication | Lighter on feedback and analytics |
| Feedback & prioritization tools | Capturing and ranking customer input | SMB to mid-market | Voice-of-customer and prioritization depth | Less roadmap or delivery focus |
| End-to-end product platforms | Feedback, prioritization, roadmaps, and analytics together | Mid-market to enterprise | Unified product workflow | Broader and costlier |
| Product modules in dev tools | Product planning tied to engineering execution | SMB to enterprise | Tight link to the backlog and delivery | Often engineering-centric |
SaaS & Technology: Tech companies use product management software to scale go-to-market motions, align teams, and operate efficiently as they grow.
Manufacturing: Manufacturers apply product management software to manage complex, multi-stakeholder processes across long cycles and distributed operations.
Healthcare: Healthcare and life-sciences organizations use product management software where accuracy, security, and compliance are non-negotiable.
Retail: Retailers use product management software to manage high volumes, personalize engagement, and react quickly to demand.
Financial Services: Banks, insurers, and fintechs rely on product management software for control, auditability, and regulatory compliance.
Education: Institutions and edtech firms use product management software to manage stakeholders and scale programs efficiently.
Real Estate: Real-estate and property teams use product management software to manage long cycles and high-value relationships.
Professional Services: Agencies and consultancies use product management software to deliver client work profitably and forecast accurately.
E-commerce: Online retailers use product management software to unify data across channels and grow customer lifetime value.
Clarify whether your biggest gap is feedback management, prioritization, roadmapping, or an end-to-end platform, since tools specialize differently.
Assess how well the tool captures and organizes feedback from your customer and internal channels, since good decisions start there.
Confirm it supports the prioritization frameworks your team uses or wants to adopt, with the flexibility to weight by your criteria.
Evaluate roadmap visualization and how easily you can tailor and share views for different stakeholders.
Check connections to your engineering tools so roadmap items flow to the backlog and delivery status flows back.
Consider whether you need product usage analytics integrated to ground decisions in real behavior and outcomes.
Favor tools the whole team and stakeholders will engage with, since product management is collaborative across functions.
Understand how pricing scales with makers and viewers, and whether a focused tool or a platform best fits your needs.
AI synthesizes large volumes of customer feedback into themes and opportunities, surfacing what to build without manual tagging.
AI assists prioritization by scoring opportunities and drafting requirements, speeding the path from input to plan.
AI generates roadmap summaries and tailored stakeholder updates automatically, reducing communication overhead.
Expect AI to connect feedback, usage data, and strategy into recommendations; prioritize tools with strong data and integration, since AI guidance depends on quality inputs and human product judgment.
Product management software is a platform that supports building the right products: gathering customer feedback and ideas, prioritizing features, defining requirements, planning roadmaps, and communicating strategy to stakeholders. It gives product managers a system to turn inputs and goals into a clear, prioritized plan, replacing scattered spreadsheets, slide decks, and disconnected feedback with a single source of truth for product direction. The purpose is to bring rigor and alignment to product decisions, connecting customer needs and business goals to what the team actually builds, and to keep stakeholders informed. The category overlaps with roadmap, idea management, and feedback tools, and ranges from focused roadmapping apps to comprehensive platforms spanning feedback, prioritization, roadmaps, and analytics. It serves product managers and teams in software and increasingly in other product-driven organizations seeking to build with strategy and evidence.
Product managers use this software across the product lifecycle. They use it to collect and organize customer feedback, feature requests, and ideas from sales, support, and users; to prioritize those opportunities against strategy, value, and effort using structured frameworks; to define what to build through requirements and specs; to plan and visualize roadmaps that sequence the work; and to communicate direction to executives, sales, customers, and the engineering team. It also helps them connect plans to the development backlog and, ideally, to product usage analytics so they can learn whether what shipped delivered results. In essence, the software supports the core PM job of deciding what to build and why, then aligning everyone around that plan. By centralizing these activities, it replaces fragmented tools and gives the PM a defensible, transparent basis for product decisions and a single place to manage strategy through execution.
A prioritization framework is a structured method for deciding which features or initiatives to build by scoring them against consistent criteria, bringing objectivity to what is otherwise a subjective, politically charged decision. Common frameworks include RICE (Reach, Impact, Confidence, Effort), value-versus-effort matrices, weighted scoring against multiple criteria, and Kano analysis. Product management software supports these by letting teams score opportunities and rank them automatically. The benefit is defensible, transparent decisions that reduce the influence of the loudest voice and help align stakeholders. The important caveat is that frameworks are only as good as their inputs: the scores depend on estimates of impact, reach, and effort that can be uncertain or biased, so 'garbage in' produces misleading rankings. Used well, with honest inputs and judgment, frameworks are a powerful aid to prioritization; used mechanically, they can create false confidence. They inform decisions rather than make them automatically.
Project management software focuses on executing work, planning tasks, timelines, and resources to deliver a defined project on time. Product management software focuses on deciding what to build and why, gathering feedback, prioritizing opportunities, planning roadmaps, and aligning strategy. The distinction is 'building the thing right' (project management) versus 'building the right thing' (product management). They're complementary across the product lifecycle: product management determines direction and priorities, which then flow into project or agile execution to deliver. Many organizations use product management tools for strategy and roadmaps and project or agile tools for the engineering backlog and delivery, integrated so plans connect to execution. Confusing the two leads to gaps: managing only execution risks efficiently building the wrong things, while strategy without delivery tracking risks plans that never ship. Effective product organizations use both, connecting the 'what and why' of product management to the 'how and when' of execution.
A product roadmap is a visual communication of a product's direction over time, what the team plans to build, in what sequence, and why, often organized by time periods or strategic themes. It translates product strategy into a plan that aligns the team and informs stakeholders like executives, sales, and customers about where the product is headed. Product management software builds roadmaps and lets teams tailor and share views for different audiences. A key principle is that a roadmap communicates direction and intent, not an ironclad commitment to exact dates and features, since priorities shift as the team learns. Many teams use theme- or outcome-based roadmaps rather than detailed feature-and-date promises precisely to keep flexibility and focus on goals. Treating a roadmap as a rigid contract causes problems when reality changes, while treating it as a living statement of direction keeps stakeholders aligned without overpromising. The roadmap is central to how product teams communicate and align.
Consolidating feedback means bringing requests, ideas, and input from all sources, customers, sales, support, success, and internal teams, into one organized place so product decisions reflect real needs rather than scattered, loudest-voice opinions. Product management and feedback tools support this by capturing feedback from multiple channels (portals, integrations with support and CRM, direct submissions), organizing it by theme or feature, and linking it to the customers and accounts behind it. This lets PMs see how many and which customers want something, weigh requests by segment or revenue, and ground prioritization in evidence. The challenge is genuinely capturing feedback that otherwise stays trapped in support tickets, sales conversations, and individual memories. Doing it well requires both tooling and a culture where teams route feedback into the system. Consolidated feedback is the foundation of good product decisions, since without it prioritization defaults to whoever advocates most forcefully rather than what customers actually need.
Both approaches work, depending on your needs and scale. Dedicated tools, a focused roadmapping app, a feedback and prioritization tool, offer depth in their specialty and let you pick the best for each need, but require integration and can fragment the product workflow across systems. All-in-one product platforms combine feedback, prioritization, roadmaps, and sometimes analytics in one place, providing a seamless workflow and single source of truth, but may not match specialists in every area and cost more. Smaller teams or those with one acute gap often start with a focused tool, while larger product organizations valuing an integrated, end-to-end workflow lean toward platforms. Consider where your biggest pain is, how many product people will use it, your budget, and how much you value consolidation versus best-in-class depth. Many teams evolve from point tools to a platform as their product organization matures and the cost of fragmentation grows.
Stakeholder alignment is one of the hardest parts of product management, and software helps by making strategy and plans visible and shareable. Roadmaps communicate direction and priorities to executives, sales, support, and customers, while tailored views let each audience see what's relevant to them without overwhelming detail. Sharing the reasoning behind prioritization, grounded in feedback and frameworks, builds trust and reduces second-guessing, and regular updates cut down the constant 'what's coming and when' questions product teams field. By centralizing the product plan and its rationale, the software reduces the misalignment that arises when strategy lives in scattered decks and conversations. That said, tooling supports but doesn't replace the communication work: alignment ultimately comes from conversations, managing expectations, and explaining trade-offs. The software makes those easier by giving everyone a shared, current view of the product's direction, so alignment is built on transparency rather than fragmented, outdated information.
AI enhances product management primarily by synthesizing inputs and reducing manual work. It can analyze large volumes of customer feedback to surface themes, sentiment, and opportunities automatically, helping PMs understand what to build without manually reading and tagging everything. It can assist prioritization by scoring opportunities and drafting requirements or specs from brief descriptions, speeding the path from input to plan. AI can also generate roadmap summaries and tailored stakeholder updates, cutting communication overhead, and increasingly connect feedback, usage data, and strategy into recommendations about what to prioritize. These capabilities depend on quality data, well-captured feedback, accurate usage analytics, and clear strategy, since AI works from the inputs it's given. Importantly, AI augments rather than replaces product judgment, which weighs trade-offs, strategy, and context AI can't fully grasp. When evaluating AI features, look for practical help with feedback synthesis, drafting, and communication that frees PMs for the strategic thinking at the heart of the role.
Pricing is typically per user per month, often distinguishing 'makers' (product team members who create and edit) from 'viewers' (stakeholders who only view roadmaps), with viewers free or low-cost. Focused tools are more affordable, while end-to-end platforms with feedback, prioritization, roadmaps, and analytics cost more per maker, and enterprise tiers add security, integrations, and administration. Total cost scales with the size of your product team and how many makers you need, since viewer access is often inexpensive. When budgeting, count your product makers, identify whether you need a focused tool or a full platform, and consider integration with your development and analytics stack. Because product teams are usually small relative to the organization, maker-based pricing keeps costs manageable even when many stakeholders view roadmaps. Map your core need and team size to each vendor's model, and avoid paying for an end-to-end platform if a focused tool addresses your primary gap.
Product management software is used primarily by product managers and product teams, but its reach extends across the organization. Product managers use it to gather feedback, prioritize, plan roadmaps, and communicate strategy; product leaders use it for portfolio-level direction; and engineering and design teams use it to understand requirements and what's coming. Beyond the product team, executives view roadmaps for strategic alignment, sales and customer success use them to inform customers and prospects, and support teams route feedback into it. It's most established in software companies, where product management is a defined discipline, but increasingly used by any product-driven organization, including hardware, services, and platform businesses. The tools serve teams from startups with a single PM to enterprises with large product organizations. The common need is making and communicating defensible decisions about what to build, grounded in customer needs and business strategy, which is the core of the product management discipline.