Build the right thing.
Based on evidence, not assumptions.
Mana OS gives product teams a continuous evidence layer — detecting user friction patterns, tracking conversation signals, and grounding roadmap decisions in real data.
Product teams are making roadmap decisions with incomplete information.
User interviews are time-consuming. Ticket tagging is inconsistent. Analytics show what happened — not why.
User research doesn't scale
Interviews give depth but take weeks. By the time research is done, the sprint is over. Most product decisions happen without any direct user evidence.
Signal blindness in the ticket stack
Support tickets contain the most honest user feedback available. Product teams almost never see it. Customer success paraphrases it in weekly calls.
Roadmap debates over opinions
Sprint planning becomes a negotiation between stakeholders. Without a shared evidence layer, whoever speaks loudest shapes the roadmap.
Signals are already stale
By the time user research reaches the product team, it has been filtered, summarised, and partially forgotten. Context is lost at every handoff.
Analytics tools show what happened. They don't explain why.
Dashboards, user interviews, and tagged tickets are all backwards-looking. They measure events that already occurred. They don't surface emerging patterns before they become problems.
Dashboards without context
Amplitude, Mixpanel, and GA tell you drop-off rates. They don't tell you that the checkout confusion is caused by a missing field label your design team missed six months ago.
Ticket tagging is noisy
Support labels are inconsistent. A feature request tagged 'billing' in one ticket is tagged 'product bug' in another. Pattern detection requires clean signals, not noisy labels.
User research is a snapshot, not a stream
Qual research illuminates intent in a moment. It doesn't monitor what users are struggling with right now, this week, continuously.
A continuous evidence layer for product decisions.
Mana OS connects your product documentation, support conversations, user feedback, and behaviour data — then monitors it continuously for patterns your roadmap should respond to.
Signals from real conversations
Not tags. Not labels. Mana OS reads across your connected sources and surfaces recurring themes as structured Signals with evidence, frequency, and impact scoring.
Evidence threads, not opinion wars
When a stakeholder challenges a priority, open Ask Mana. Ask 'What are users struggling with most in checkout?' and present a cited, sourced answer.
Continuous monitoring, not periodic reviews
Instead of scheduling a quarterly research cycle, Mana OS surfaces new patterns the moment they emerge from your connected data.
The same Mana OS platform powering your product intelligence.
No separate tool. The same platform your support and customer success teams use — applied to product operations.
Signals from user behaviour
Mana OS continuously monitors your connected sources: support tickets, user feedback forms, NPS responses, product documentation, and usage logs. When a pattern emerges — a recurring friction point, a documentation gap, a feature request cluster — a Signal is created with evidence, frequency, and suggested owner.
Ask evidence-backed product questions
Ask Mana lets your team investigate before committing to a roadmap decision. 'What are users asking about most in onboarding?' 'Which features generate the most confusion questions?' 'What changed last sprint that drove the support spike?' Every answer is traced to specific sources.
Deploy a customer-facing product assistant
Deploy a customer-facing AI chatbot grounded in your approved product guides and specs. The assistant resolves routine pre-sale and onboarding questions automatically, while analyzing conversation logs to identify and monitor user friction signals for the product team.
From unknown user friction to roadmap decision in one session.
A Signal emerges
Mana OS detects that questions about 'workspace invitations' have increased 3x over the past two weeks across support tickets and user feedback channels. A Signal is created with evidence, frequency, and an assigned product owner.
The PM investigates
The product manager opens Ask Mana and asks: 'What exactly are users struggling with in workspace invitations?' The answer traces to 15 specific support tickets and 4 user feedback entries describing the same broken email flow.
Root cause identified
Ask Mana reveals that the email invitation flow was updated two weeks ago in a minor release. The release notes mention the change but the help documentation was never updated.
Two actions taken
The PM updates the Knowledge Base with clarified documentation and files a bug ticket for the broken email flow. Both actions are logged in the investigation thread.
Signal resolved
Volume drops over the following week. The investigation is saved as a persistent thread. The team now has a documented case study for how undocumented UI changes create support spikes.
What product teams gain with Mana OS.
Evidence-backed roadmap decisions
Every prioritisation discussion can be grounded in real signals from real users, not stakeholder opinions or gut feeling.
Faster pattern identification
Instead of waiting for quarterly research cycles, product teams see emerging user friction patterns within hours of them forming.
Cross-functional shared context
Support, customer success, and product teams all see the same signals from the same shared Knowledge Base. No more telephone game.
Institutional memory
Investigation threads persist. When a similar issue returns six months later, the team has the full evidence trail from the previous investigation.
From fragmented feedback to continuous product intelligence.
Connect your sources
Connect your product documentation, support ticket exports, user feedback forms, NPS data, and internal wikis. Mana OS structures everything into a shared Knowledge Base.
See your first signals
Mana OS surfaces the first patterns from your existing data. Most teams see their first actionable signal within the first session.
Investigate before committing
Before the next sprint planning, open Ask Mana and investigate the top three signals. Present evidence, not opinions.
Build the continuous loop
Every deployment generates new signals. Every signal generates new investigations. The evidence layer compounds over time.
Build the right thing. With proof, not opinions.
Connect your first source and see your roadmap through your users' eyes.