Iteration X
AI-enabled start-up aiming to enhance collaboration and improve product roadmap decision making. We want to make sure every employee can share their opinion on their product’s development and collaborate seamlessly without being limited by technical constraints.
The Challenge
To achieve our goal and ensure collective feedback can be easily taken into account by product teams, multiple technological and professional barriers need to be addressed:
Lack of context
Through numerous interviews, data analyses, and personal experiences, we've discovered that capturing collective feedback into clear actionable changes is challenging. When users report issues with a product or feature, it often falls to the product manager to transform their feedback into well-written tickets that can be then passed on to the engineers. Enabling the engineers to have data-rich reports so they can reproduce them.
To avoid this and empower users to effectively report bugs and issues directly with product teams, we've developed a unique solution to capture, share, and manage issues directly in their context—without taxing product managers' or engineers’ bandwidth.
Difficulties managing external data access
Granting access to outside members of your organisation can be tricky. However, giving the right amount of access to external members allows for synergy among all stakeholders. This is where the AI co-pilot comes in. With the help of knowledge base integrations such as Notion or Google Drive, users have regulated access to their data through the copilot.
Instead of requiring users to read all documents related to a project, we've opted for a more digestible way of acquiring this knowledge. Users can interact with the AI by chatting with it, as if it were a team member who knows everything about the project and the company.
The AI Copilot is designed to be context-aware, leveraging the team's knowledge base, including native documents, integrations, and project history. This ensures information is highly specific and tailored to the team's unique product and context.
Knowing that each company uses their own stacks of tools, we wanted to make sure our tool could seamlessly integrate with other products.
Difficulties managing external data access
Iteration X enables in-context collaboration by providing an in-UI view of issues. This allows team members to see all captured issues directly within the project in a web browser. They can identify problems through visual pins that show what the issue is and who reported it, thus avoiding duplicate efforts and reducing unnecessary communication.
The platform offers a streamlined issue management tool with features like assignees, due dates, priorities, and statuses for efficient categorization. Labels and filters help structure feedback and task planning , while file sharing and commenting capabilities further enhance collaboration.
Additionally, the platform includes an AI Copilot available on Slack, designed to assist members with various tasks and provide quick answers to questions about the tool's functionality -without disturbing the other members of the product team.
Security risks
Granting AI access to company information is not an easy choice, transparency and security need to be guaranteed. We want to make sure our customers understand how important their security and privacy standards are for us. This is why we made sure our tool was SO 27001, ISO 27701, and AICPA SOC certified.
One size doesn’t fit all, this is why we also enable companies to to tweak the AI models according to their needs.
Fragmented workflows
Many product development teams struggle with disjointed tools and processes, leading to inefficient collaboration and communication breakdowns. This fragmentation can result in:
- Scattered information across multiple platforms
- Time wasted switching between different tools
- Difficulty in maintaining consistent workflows
- Reduced visibility into project progress and issues
Understanding that each member of a company uses different tools, we designed Iteration X to be user-friendly and seamlessly integrate with the software already used in daily workflows, ensuring that our tool enhances productivity without disrupting existing processes.
Scenario 1
A marketing specialist can receive campaign performance updates from Iteration X directly in their Slack channel, eliminating the need to switch between multiple applications.
Scenario 2
An engineer receives a notification in GitHub about a new bug report automatically created by Iteration X.
The report includes a screenshot, browser info, and a screen recording of the issue. Using the 'In-UI' view in Iteration X, they can quickly visualise and reproduce the bug. They then create a new branch in GitHub to address the issue, linking it to the Iteration X report. As they work on the fix, the status of the Iteration X issue updates automatically based on the pull request progress. Once the fix is merged, Iteration X updates the issue status to be resolved, streamlining the entire bug-fixing workflow and enhancing team communication.
Your Proactive AI Copilot
Imagine an AI assistant that doesn't just wait for your questions, but actively anticipates your needs. While traditional AI assistants are reactive, our AI Copilot takes a proactive approach:
- It constantly scans the internet for relevant information based on your current project or task
- Provides unsolicited but valuable insights and suggestions
- Identifies potential roadblocks or opportunities you might have missed
This proactive AI Copilot doesn't just answer your queries – it becomes an integral part of your workflow, offering timely information and creative solutions before you even ask. By staying one step ahead, it opens up a world of new possibilities, enhancing your productivity and decision-making capabilities in ways you never thought possible.
Our goal was to transform the copilot into a true collaborative partner. To achieve this, we enhanced our AI copilot with the ability to autonomously gather relevant insights from across the web. It then synthesises this information, creating a concise summary of what's most important to you. This proactive approach ensures you're always equipped with the latest and most relevant information, without having to ask for it explicitly.
As a co-founder, I played a key role in shaping our product, focusing on both research and design while supporting overall business growth. Allowing us to raise $4.7 million dollars in seed founding.