Template injection for Rise
.Requested feature: Input: I select one of our Rise templates and block libraries and upload a course script. Output: You output a senior instructional designer quality first pass of the course. Requirements: Quality over speed. Idont mind waiting to get a higher quality return.Adding alt-tag in Rise
Hello It would be so helpful to view a larger image preview when adding alt-tags to make it easier in Rise Process blocks. Otherwise, it is hard to write them without seeing the image clearly. See screenshot attached. Another suggestion is please add a feature where AI automatically adds the alt-tags and we edit it later to suit. Thank you SumantThemes Automatically Applied to AI-Generated Content
Background / Problem We understand that fonts and colors can be changed via Theme, but for content created with AI, we currently have to manually reapply the same settings each time. To align with unified brand design (fonts/colors/button and interaction styles, etc.), post-generation adjustments are required, increasing operational effort. In other projects, we duplicate content saved as design templates, but we cannot launch Create new with AI from existing content. This prevents us from combining template-driven workflows with AI generation efficiently. Request (Desired Behavior) Theme templating Allow saving and managing Theme settings (fonts, color palettes, button styles, default cover/lesson layouts, etc.) as “Theme Templates.” Enable setting a “default Theme Template” at workspace/folder/project levels. Integration with AI generation When using Create new with AI to generate a course, provide an option (default ON/OFF) to automatically apply the selected Theme Template. Allow launching Create new with AI from existing template content and inherit that content’s theme settings for the newly generated course. Bulk apply / reapply Provide a function to bulk apply or reapply (diff-based update) a Theme Template to existing courses. Offer impact previews (fonts, colors, component styles) and before/after comparisons prior to applying changes. Management / sharing Support versioning, ownership, update history, and team sharing (view/edit permissions) for Theme Templates. Support export/import (e.g., JSON) to facilitate migration across workspaces and backups. Expected Benefits Immediately achieve brand-consistent courses after AI generation, greatly reducing rework. Improve consistency of design standards across teams/organizations, enabling scalable production. Combine template operations with AI generation to balance speed and quality. Representative Use Cases Roll out brand-approved fonts and color schemes across multilingual courses. Apply a unified theme to large volumes of microlearning for Sales/Support. Launch Create new with AI from an existing template: let AI handle structure and tone, while the visual design remains fixed by the template. Acceptance Criteria (Examples) At the start of Create new with AI, users can select which Theme Template to apply (default sourced from workspace settings). After generation, users can reapply the Theme Template to the course with one click. Items manageable via Theme Template: fonts (body/headings), color sets (primary/secondary/accent), component styles (buttons/links/cards), and default layouts for cover/lessons. Template sharing settings and version history are visible. Note (Alternative) As a minimum improvement, allowing Create new with AI to be launched from existing content and inherit that content’s theme settings would already deliver significant value. Thank you for your consideration.Testing a “Second Set of Eyes” for Digital Learning
Hi everyone, I’m currently piloting something new and I’m looking for a few course creators who’d be open to testing it with me. I’ve been working on an instructional framework, designed to act as a structured second set of eyes on digital learning. The goal is to surface clarity, accessibility, and instructional integrity issues early, before review cycles get heavy or rework becomes costly. For those who might be interested, I’m offering "Clarity Snapshot": a short diagnostic that highlights where clarity or learner trust may be at risk, plus guidance on what matters most to address first. (on a Rise or Storyline course, in pdf version). Nothing to sell here, simply curious to have the precious input from other professionals No judgment on courses per se, it's really just to run some pilots. The main goal is to support designers and creators who care deeply about quality and want sharper signals than subjective feedback alone. If you’re curious and have a course you’d like a fresh set of eyes on, feel free to comment or DM me. Happy to share more context before anything else. Thanks for helping shape this.Working with AI content
Is it possible when creating an AI generated course in Rise that we have some more options? The Create AI course will create the course - but not change the provided content, other than to create the interactive activities. So allowing AI content to be developed external to Rise and then imported in. Create AI course, but split the imported documents into separate pages/section. This should minimise content being split between sections when it is only relevant to one page/section. Also this should allow a deeper dive into a subject when multiple sources are imported, currently a course seems to be a similar size regardless of 1 page being sourced or 10. Your current Create AI course option as it stands.Need for "Preserve Content Integrity" Setting in Rise AI Assistant
We operate in a regulated environment (University), and the content we use for our e-learning courses is subject to a mandatory sign-off and review process before development begins. The critical issue we are facing is as follows: When we use the AI Assistant for editing or refinement tasks, it systematically summarises, shortens, and rewrites content, even when we explicitly instruct it not to change the structure or length. This directly contradicts our internal content governance procedures, as the resulting output is no longer the officially signed-off text. In its current form, the AI Assistant is currently unusable and to our team's workflow. With so many seats we have, we may not purchase the addition at this stage.Articulate Localization
Our team recently completed the Articulate Localization free trial. A lot of the features were really great. We had some feedback from our internal translation team. The first is to have an easy way of exporting an editable version of the translation (for example a a Word doc). This allows them to add it to their library so we can have consistency across teams and assets. The second was that when they were editing the translation, they mentioned it was white text on a light blue background and was difficult to read. I don't think this would meet accessibility standards for colour contrast. With these two changes, our translation department could see this being a very helpful tool. Thanks!Feature Idea: Automatic Video Segmentation in Rise AI Course Creation
I’ve been trying out the “Create Course Using AI” feature in Rise, and it’s been amazing so far—especially how it converts a full video into a complete course. One thing I was hoping for (and would love to see in the future) is the ability for Rise to: Automatically break an uploaded video into shorter segments, and Align those segments with the AI-generated course outline, so each lesson has its own short, focused video clip. Right now, the video is treated as a single unit, but having automated segmentation would make the course much more modular and learner-friendly. Just sharing this as a feature idea—would love to see something like this added down the line!Forced Alignment of Voiceovers
Much of a developer's time is spent in review. Voiceovers are tedious for most to listen to critically. Some issues only found after on the LMS. There are methods to run the audio through a speech to text programs and compare that transcript to the original, flagging any mismatches. Having this built-in would be a game-changer. Right now, extracting the audio en masse is not easy, as it has to be done manually or through using Python after publishing. The issue is that the audio files have arbitrary names and no corrolation to the slide/layer. Python can analyse the meta data and create a table to match the items. clunky at best. Ideas? Can an API to forced alignment tools be incorporated into SL or Rise?
