atisbo

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1. 11/1/2026

   Updated: best for, features, integrations, limitations, plans, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Product managers and teams already using MCP-compatible agents like Claude Code, Codex, or Cursor.","Teams that want to own their product context infrastructure or use a managed cloud workspace."]

   After: ["Teams already shipping with agents who want to prioritize and verify product work based on real user problems and strategic alignment."]

   features

   Before: ["Organizes customer evidence, strategy, and decisions into one connected record.","Automatically groups recurring problems by evidence and ranks them by priority.","Runs multiple independent product agents from the same record to investigate root causes and validate signals."]

   After: ["Groups and classifies evidence from multiple sources into unified problems to avoid duplicates.","Ranks problems by evidence severity, volume, recency, and strategic alignment to prioritize work.","Verifies fixes by monitoring if the problem reoccurs after deployment, reopening issues with full history if needed."]

   integrations

   Before: ["Integrates with around a thousand tools via an agent-driven connection including Zendesk, Intercom, Jira, Linear, HubSpot, Slack.","Supports direct evidence input via email forwarding, webhook POST, file upload, and GitHub webhooks.","Polls Notion and Granola daily for meeting notes and transcripts as evidence sources."]

   After: []

   limitations

   Before: ["Requires MCP-compatible agents to fully leverage product context capabilities."]

   After: ["Atisbo does not write code or replace existing issue trackers like Jira or Linear; it requires agents compatible with MCP such as Claude Code, Codex, or Cursor to perform coding work."]

   plans

   Before: [{"name":"Cloud","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":null,"monthly":50,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]

   After: [{"name":"Cloud","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":null,"monthly":500,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]

   sources

   Before: [{"url":"https://www.atisbo.dev/","label":"Atisbo — Product evidence and decisions for teams and agents"},{"url":"https://www.atisbo.dev/pricing","label":"Pricing — Atisbo"},{"url":"https://app.atisbo.dev/docs/integrations","label":"Integrations — Atisbo Docs"}]

   After: [{"url":"https://www.atisbo.dev/","label":"Atisbo — Product evidence and decisions for teams and agents"},{"url":"https://www.atisbo.dev/pricing","label":"Pricing — Atisbo"}]

   summary

   Before: "Atisbo is a product context platform that organizes customer evidence, strategy, and decisions into a single record for product teams and agents. It enables running multiple independent investigations and connects evidence, decisions, and outcomes to improve product work efficiency and decision-making."

   After: "Atisbo is a software platform designed for product teams using agents to manage and prioritize real user problems, integrating evidence from multiple sources to guide development and verify fixes. It connects customer feedback, support tickets, sales calls, and other data, grouping and ranking issues by strategic importance, and tracks outcomes to ensure solutions address the original problems."

   useCases

   Before: ["Product teams needing to reduce duplicate work and speed up product decisions by connecting evidence and decisions."]

   After: ["Prioritizing product development based on real user feedback and strategic goals.","Tracking and verifying that shipped fixes actually resolve the reported problems."]

   walkthrough

   Before: ["Atisbo ingests raw evidence from tickets, calls, meetings, and strategy through integrations or uploads.","It classifies and groups evidence into problems, merging related feedback into single lines.","Each problem is scored by evidence strength, recency, urgency, and strategic fit to prioritize work.","Work is assigned to a person or agent who carries the evidence; agents check that shipped work answers the evidence."]

   After: ["Collect evidence from support tickets, sales calls, meeting transcripts, notes, and strategy via integrations, email, webhooks, uploads, or agents.","Group and classify evidence to consolidate duplicate reports into single problems.","Rank problems by evidence and strategy, then assign to agents or people to build and verify fixes."]

2. 9/27/2026

   Updated: best for, export formats, features, integrations, limitations, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Product managers and product teams needing to connect customer evidence, strategy, and decisions for better product investigations.","Teams wanting to run multiple independent product investigations and reduce duplicate work and backlog maintenance."]

   After: ["Product managers and teams already using MCP-compatible agents like Claude Code, Codex, or Cursor.","Teams that want to own their product context infrastructure or use a managed cloud workspace."]

   exportFormats

   Before: ["Evidence and decisions are stored in one record that can be used by product, design, engineering, and support teams and their agents."]

   After: []

   features

   Before: ["Organizes customer evidence, strategy, and decisions into one record for agents to investigate and update.","Automatically groups recurring problems by evidence and ranks them for prioritization.","Supports running dozens of independent product agents from the same product record to investigate real problems."]

   After: ["Organizes customer evidence, strategy, and decisions into one connected record.","Automatically groups recurring problems by evidence and ranks them by priority.","Runs multiple independent product agents from the same record to investigate root causes and validate signals."]

   integrations

   Before: ["Supports direct evidence ingestion via email forwarding, webhook POSTs, file uploads, and GitHub webhooks."]

   After: ["Integrates with around a thousand tools via an agent-driven connection including Zendesk, Intercom, Jira, Linear, HubSpot, Slack.","Supports direct evidence input via email forwarding, webhook POST, file upload, and GitHub webhooks.","Polls Notion and Granola daily for meeting notes and transcripts as evidence sources."]

   limitations

   Before: ["Metric feeds are handled separately and do not go through the main evidence ingestion routes."]

   After: ["Requires MCP-compatible agents to fully leverage product context capabilities."]

   summary

   Before: "Atisbo is a product context platform that organizes customer evidence, strategy, and decisions into a unified record for product teams and agents. It enables deep product investigations by connecting evidence, decisions, and constraints, allowing multiple agents to run independent investigations and support product work efficiently."

   After: "Atisbo is a product context platform that organizes customer evidence, strategy, and decisions into a single record for product teams and agents. It enables running multiple independent investigations and connects evidence, decisions, and outcomes to improve product work efficiency and decision-making."

   useCases

   Before: ["Product teams can validate signals, find root causes, and connect related claims to larger problems.","Teams can recover prior decisions and comparable solutions and investigate across evidence, code, data, UI, and external research."]

   After: ["Product teams needing to reduce duplicate work and speed up product decisions by connecting evidence and decisions."]

   walkthrough

   Before: ["Atisbo ingests tickets, calls, meetings, and strategy to group recurring problems by evidence and rank them for prioritization.","Product people approve the final order of problems, while teams and AI agents build directly from the exact same record.","Multiple agents run independent investigations from the same product record to find root causes and test signals before final product decisions are made."]

   After: ["Atisbo ingests raw evidence from tickets, calls, meetings, and strategy through integrations or uploads.","It classifies and groups evidence into problems, merging related feedback into single lines.","Each problem is scored by evidence strength, recency, urgency, and strategic fit to prioritize work.","Work is assigned to a person or agent who carries the evidence; agents check that shipped work answers the evidence."]

3. 9/13/2026

   Updated: best for, export formats, features, integrations, limitations, plans, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Product managers and product teams who want to reduce duplicate work and speed up decisions by leveraging agents."]

   After: ["Product managers and product teams needing to connect customer evidence, strategy, and decisions for better product investigations.","Teams wanting to run multiple independent product investigations and reduce duplicate work and backlog maintenance."]

   exportFormats

   Before: []

   After: ["Evidence and decisions are stored in one record that can be used by product, design, engineering, and support teams and their agents."]

   features

   Before: ["Organizes customer evidence, strategy, and decisions into one record accessible by agents.","Runs dozens of independent product agents from the same record to investigate real problems.","Continuously ingests tickets, calls, meetings, and strategy, automatically grouping recurring problems by evidence."]

   After: ["Organizes customer evidence, strategy, and decisions into one record for agents to investigate and update.","Automatically groups recurring problems by evidence and ranks them for prioritization.","Supports running dozens of independent product agents from the same product record to investigate real problems."]

   integrations

   Before: ["Supports direct evidence input via email forwarding, webhook POSTs, file uploads, and GitHub webhooks."]

   After: ["Supports direct evidence ingestion via email forwarding, webhook POSTs, file uploads, and GitHub webhooks."]

   limitations

   Before: []

   After: ["Metric feeds are handled separately and do not go through the main evidence ingestion routes."]

   plans

   Before: []

   After: [{"name":"Cloud","note":"Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.","annual":null,"monthly":50,"perSeat":false,"currency":"USD","features":[],"extraUnit":null,"unitLabel":"","maximumSeats":null,"minimumSeats":1,"includedUnits":null,"startingPrice":false,"seatsConfirmed":false}]

   sources

   Before: [{"url":"https://www.atisbo.dev/","label":"Atisbo — Product evidence and decisions for teams and agents"},{"url":"https://app.atisbo.dev/docs/integrations","label":"Integrations — Atisbo Docs"}]

   After: [{"url":"https://www.atisbo.dev/","label":"Atisbo — Product evidence and decisions for teams and agents"},{"url":"https://www.atisbo.dev/pricing","label":"Pricing — Atisbo"},{"url":"https://app.atisbo.dev/docs/integrations","label":"Integrations — Atisbo Docs"}]

   summary

   Before: "Atisbo is a product context platform that organizes customer evidence, strategy, and decisions into a unified record for product teams and agents. It enables deep product investigations by connecting evidence, decisions, and constraints, allowing multiple agents to run independent investigations from the same record."

   After: "Atisbo is a product context platform that organizes customer evidence, strategy, and decisions into a unified record for product teams and agents. It enables deep product investigations by connecting evidence, decisions, and constraints, allowing multiple agents to run independent investigations and support product work efficiently."

   useCases

   Before: ["Product teams needing to connect customer evidence, strategy, and decisions for better product investigations.","Teams wanting to run multiple independent product investigations and review evidence before deciding."]

   After: ["Product teams can validate signals, find root causes, and connect related claims to larger problems.","Teams can recover prior decisions and comparable solutions and investigate across evidence, code, data, UI, and external research."]

   walkthrough

   Before: ["Atisbo reads tickets, calls, and messages, encrypts data, and never uses it to train AI; data can be deleted anytime.","Agents validate signals, find root causes, connect claims to larger problems, and recover prior decisions.","Product, design, engineering, and support teams work from the same source of truth, enabling agents to pick up records without rebuilding briefs."]

   After: ["Atisbo ingests tickets, calls, meetings, and strategy to group recurring problems by evidence and rank them for prioritization.","Product people approve the final order of problems, while teams and AI agents build directly from the exact same record.","Multiple agents run independent investigations from the same product record to find root causes and test signals before final product decisions are made."]