## Background Quantify has strong technical tutorials, but new contributors can still struggle to build a quick mental model of the workflow. This bounty focuses on science communication: making Quantify easier to understand for newcomers through visual storytelling. Starter links: - [README.md](https://gitlab.com/quantify-os/quantify/-/blob/main/README.md) - [docs/source/tutorials/index.md](https://quantify-os.gitlab.io/quantify/dev/tutorials/index.html) - [docs/source/tutorials/Tutorial_1._Running_an_Experiment.ipynb](https://quantify-os.gitlab.io/quantify/dev/tutorials/Tutorial_1._Running_an_Experiment.html) - [docs/source/tutorials/Tutorial_2._Schedules_and_Pulses.ipynb](https://quantify-os.gitlab.io/quantify/dev/tutorials/Tutorial_2._Schedules_and_Pulses.html) --- ## Goal Create a beginner-friendly visual communication pack that explains the end-to-end Quantify workflow: **experiment setup → schedules/pulses → acquisition → analysis/output**. --- ## Deliverables 1. One-page infographic (desktop format) explaining the workflow and key terms. 2. A 5-slide social carousel (or equivalent) for community outreach/onboarding. 3. A short design rationale (200–300 words) explaining audience, design decisions, and how scientific accuracy was preserved. 4. A source map linking each visual section to relevant docs/tutorial references. --- ## In Scope - Science communication and onboarding clarity. - Information hierarchy and visual explanation of concepts. - Accessibility basics (readable typography, contrast, alt text). --- ## Constraints - Open-source tools/assets only. - No implementation/code required. - Submit editable source files + exported assets (e.g., SVG/PNG/PDF). - Include attribution/license notes for any external assets. --- ## Evaluation Criteria - Clarity for first-time users. - Scientific accuracy and faithful mapping to Quantify docs. - Reusability for docs/community channels. - Accessibility and visual quality. - Completeness of submission package.