Evolve your opportunity\u2013solution tree: summarize discoveries, update opportunities, and flag risky assumptions that need validation.<\/li>\n<\/ul>\nAs a lightweight cadence, pull in the latest signals each week, let the AI highlight shifts in demand or risk, and review the suggested priority changes and release candidates. You\u2019ll get a continuous discovery loop that keeps the roadmap evidence\u2011based without adding busywork.<\/p>\n<\/section>\n
Customize your AI assistant<\/h2>\n Acknowledging the diversity in team dynamics, habits, and requirements, we encountered a variety of requests for modifications in the format of AI-generated text and for the inclusion of new features, such as technical and non-technical requirements, when we introduced the initial versions of acceptance criteria and user story writing features.<\/p>\n
In response to these requests, we aimed not to overwhelm our users with many options that might not be relevant to their needs. Instead, we opted for a more user-centric approach by introducing the concept of AI Templates.<\/p>\n
This solution allows users to customize the output according to their preferences and requirements, ensuring that the AI-generated content aligns more closely with their unique workflows and documentation standards.<\/p>\n
The same user story in different formats:<\/strong><\/p>\n\n
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Templates empower users to modify the structure of user stories, transitioning from the traditional \u201cAs a user\u2026\u201d format to alternatives like the \u201cGiven\u2026When\u2026Then\u2026\u201d format or any other format that suits their needs.<\/p>\n
This customization is set up once at the beginning of creating a backlog, and from that point on, StoriesOnBoard AI adheres to the chosen format, ensuring consistency across the board.<\/p>\n
This flexibility extends to the organization of acceptance criteria as well. By default, StoriesOnBoard AI categorizes acceptance criteria into groups, with the AI itself suggesting possible groupings. <\/p>\n
Acceptance criteria, using the given-when-then format<\/strong><\/p>\n\n
Acceptance criteria, splitting requirements into technical and non-technical requirements<\/strong><\/p>\n\n
However, the possibilities for customization are vast. Users can define their groups, such as distinguishing between \u201ctechnical\u201d and \u201cnon-technical requirements,\u201d or they may opt for a hybrid approach that combines fixed group structures with AI-generated categories. <\/p>\n
Acceptance criteria, splitting requirements into technical and non-technical requirements<\/strong> + custom group<\/strong><\/p>\n\n
This level of customization allows teams to tailor the tool to their specific project management styles and documentation needs, making the process more efficient and aligned with their workflows.<\/p>\n
Templates prove to be highly beneficial for those looking to adhere to specific formatting preferences, such as bullet lists, numbered lists, or even assigning IDs to each item. This feature enhances the organization and readability of project documentation, catering to various documentation standards and preferences.<\/p>\n
Beyond the adaptability offered by AI templates, the option to select the AI\u2019s language further customizes the experience. While some tools provide automated language recognition, others are limited to responses only in English.<\/p>\n
Recognizing the need for greater flexibility, we introduced a language selector that can be adjusted for each story map individually. This is particularly advantageous for projects receiving inputs, such as user feedback, in multiple languages. By accommodating language diversity, we ensure that the tool is accessible and efficient for teams operating in a global context, facilitating clearer communication and understanding across diverse user bases.<\/p>\n
Summary \u2014 what takes StoriesOnBoard AI way beyond the \u2018standard AI features\u2019<\/h2>\n Brainstorming new ideas and writing summaries or specifications even from tiny input is easy-peasy for chatGPT, but understanding the essence of story mapping and the hierarchy of different backlog items is what makes StoriesOnBoard AI really unique.<\/p>\n
Plus, it understands how you want to create your backlog by adjusting AI-generated content to your existing items and following the formats you provide.<\/p>\n\nStoriesOnBoard AI: Product Management FAQ<\/h2>\n\n
\nHow is StoriesOnBoard AI different from ChatGPT?<\/h3>\n It understands user goals, steps, and stories, and organizes ideas straight into a story map. It adapts to your existing backlog and templates, so you don\u2019t waste time reworking.<\/p>\n<\/article>\n\nCan it help build the story map backbone?<\/h3>\n Yes. It can brainstorm user goals and lay out the steps for a coherent journey, or review your map and spot missing steps.<\/p>\n<\/article>\n\nHow does it expand an existing backlog?<\/h3>\n It reads your backlog, gauges the level of detail, and proposes items at the right scope. Suggestions land at the correct level so the narrative stays intact.<\/p>\n<\/article>\n\nHow does it write user stories and acceptance criteria?<\/h3>\n It turns short titles into full user stories in the classic "As a… I want… so that…" format. It can generate acceptance criteria from scratch or enrich the ones you already have.<\/p>\n<\/article>\n\nCan I customize formats and criteria groups?<\/h3>\n Yes. With AI Templates, you can switch to Given\u2011When\u2011Then, split criteria into technical\/non\u2011technical\/UX, or define your own groups. You can also choose bullets vs. numbered lists and add IDs.<\/p>\n<\/article>\n\nHow do AI Templates work in practice?<\/h3>\n Set them once for a story map and the AI follows them every time. You can combine fixed structures with AI\u2011suggested categories to balance control and flexibility.<\/p>\n<\/article>\n\nDoes it support release notes and stakeholder updates?<\/h3>\n Yes. It creates one\u2011click release summaries and drafts announcements by grouping delivered stories. Product owners can pick the items and output them as paragraphs or lists.<\/p>\n<\/article>\n\nWill it match our team\u2019s language and terminology?<\/h3>\n A per\u2011map language selector lets you generate content in the language you need. Your templates and existing backlog terms keep terminology consistent.<\/p>\n<\/article>\n\nHow does it ensure the right level of detail?<\/h3>\n It analyzes the size and granularity of your current items and adapts its output accordingly. Epics, steps, and stories stay properly scoped.<\/p>\n<\/article>\n\nWhat\u2019s the quickest way to get started?<\/h3>\n Begin with a few goals or an existing map, then use brainstorming to add steps and stories. Apply templates, review the drafts, and iterate.<\/p>\n<\/article><\/div>\n<\/section>\n
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