From ddba0d57c580838afb2a1be83241cb974ac14318 Mon Sep 17 00:00:00 2001 From: Markus Graf Date: Tue, 14 Oct 2025 22:33:25 +0200 Subject: [PATCH] initial specifications --- .specify/memory/constitution.md | 172 +++++++++--- .../checklists/requirements.md | 82 ++++++ specs/001-build-an-application/spec.md | 264 ++++++++++++++++++ 3 files changed, 483 insertions(+), 35 deletions(-) create mode 100644 specs/001-build-an-application/checklists/requirements.md create mode 100644 specs/001-build-an-application/spec.md diff --git a/.specify/memory/constitution.md b/.specify/memory/constitution.md index 1ed8d77..4889c68 100644 --- a/.specify/memory/constitution.md +++ b/.specify/memory/constitution.md @@ -1,50 +1,152 @@ -# [PROJECT_NAME] Constitution - + + +# Reklamator Constitution ## Core Principles -### [PRINCIPLE_1_NAME] - -[PRINCIPLE_1_DESCRIPTION] - +### I. Specification-First Development -### [PRINCIPLE_2_NAME] - -[PRINCIPLE_2_DESCRIPTION] - +Every feature MUST begin with a complete specification document before any implementation work begins. Specifications MUST include: +- Prioritized user stories that are independently testable +- Functional requirements with unique identifiers (FR-001, etc.) +- Measurable success criteria +- Edge cases and boundary conditions -### [PRINCIPLE_3_NAME] - -[PRINCIPLE_3_DESCRIPTION] - +**Rationale**: Clear specifications prevent scope creep, enable accurate effort estimation, and provide a shared understanding between stakeholders and implementers. Independent testability ensures we can deliver incremental value. -### [PRINCIPLE_4_NAME] - -[PRINCIPLE_4_DESCRIPTION] - +### II. Test-First Discipline (NON-NEGOTIABLE) -### [PRINCIPLE_5_NAME] - -[PRINCIPLE_5_DESCRIPTION] - +Tests MUST be written before implementation code. The mandatory workflow is: +1. Write tests that capture requirements +2. Verify tests FAIL (proving they test something meaningful) +3. Implement the minimum code to make tests pass +4. Refactor while keeping tests green -## [SECTION_2_NAME] - +**Rationale**: Test-first development forces clear thinking about requirements and interfaces. It prevents the common trap of writing tests that merely confirm what the code does rather than what it should do. This is non-negotiable because untested code is unmaintainable code. -[SECTION_2_CONTENT] - +### III. Independent User Stories -## [SECTION_3_NAME] - +User stories MUST be designed as independently deliverable units of value. Each story: +- Can be implemented without requiring other stories to be complete +- Can be tested in isolation +- Delivers tangible value to users even if it's the only story delivered +- Has an explicitly assigned priority (P1, P2, P3, etc.) -[SECTION_3_CONTENT] - +**Rationale**: Independent stories enable incremental delivery, reduce risk, allow flexible prioritization, and support parallel development when team capacity allows. + +### IV. Simplicity & Justification + +Complexity MUST be justified. Default to the simplest solution that meets requirements. When introducing: +- Additional abstraction layers +- New dependencies +- Design patterns beyond direct implementation +- Additional projects or services + +Document WHY it's needed and what simpler alternative was rejected and why. + +**Rationale**: Complexity is expensive. It increases cognitive load, maintenance burden, bug surface area, and onboarding time. Every complexity decision should be a conscious tradeoff with documented reasoning. + +### V. Documentation as Code + +Documentation MUST live alongside code, be version-controlled, and follow the same review process. Required documentation: +- Feature specifications in `/specs/[###-feature-name]/spec.md` +- Implementation plans in `/specs/[###-feature-name]/plan.md` +- Data models, contracts, and quickstart guides in feature directories +- Constitution (this document) for governance + +**Rationale**: Outdated documentation is worse than no documentation. Treating docs as code ensures they stay current, searchable, and reviewable. The Specify framework structure enforces this by design. + +## Quality Standards + +### Testing Requirements + +- **Contract tests**: Required for all public APIs and interfaces +- **Integration tests**: Required for user journeys and cross-component interactions +- **Unit tests**: Optional but encouraged for complex logic +- **Test independence**: Tests MUST NOT depend on execution order +- **Test clarity**: Test names MUST describe what behavior is being verified + +### Code Quality + +- Clear, self-documenting code preferred over extensive comments +- Comments required only for non-obvious decisions or complex algorithms +- Linting and formatting tools MUST be configured and enforced +- Error handling MUST be explicit and meaningful +- Logging MUST be structured and include sufficient context + +## Development Process + +### Feature Lifecycle + +1. **Specify** (`/speckit.specify`): Create feature specification with user stories +2. **Clarify** (`/speckit.clarify`): Address any ambiguities or underspecified areas +3. **Plan** (`/speckit.plan`): Research, design data models, define contracts +4. **Tasks** (`/speckit.tasks`): Generate dependency-ordered implementation tasks +5. **Implement** (`/speckit.implement`): Execute tasks following test-first discipline +6. **Analyze** (`/speckit.analyze`): Verify cross-artifact consistency + +### Branching & Integration + +- Feature branches named `###-feature-name` where ### is numeric identifier +- Branch created before planning phase begins +- Regular integration to avoid long-lived feature branches +- All changes require review before merging + +### Constitution Compliance + +Before starting implementation (Phase 0 research), run Constitution Check from `plan.md`. Any violations MUST be documented in the Complexity Tracking table with: +- What rule is being violated +- Why it's necessary for this feature +- What simpler alternative was considered and rejected ## Governance - -[GOVERNANCE_RULES] - +### Amendment Process -**Version**: [CONSTITUTION_VERSION] | **Ratified**: [RATIFICATION_DATE] | **Last Amended**: [LAST_AMENDED_DATE] - \ No newline at end of file +1. **Proposal**: Document proposed change with rationale +2. **Review**: Discuss impact on existing practices and templates +3. **Sync**: Update all dependent templates and documentation +4. **Version**: Increment version following semantic versioning +5. **Ratify**: Record amendment date and version + +### Versioning Policy + +- **MAJOR (X.0.0)**: Backward incompatible changes, principle removals, fundamental redefinitions +- **MINOR (x.Y.0)**: New principles added, sections expanded, new mandatory practices +- **PATCH (x.y.Z)**: Clarifications, wording improvements, typo fixes, non-semantic changes + +### Compliance Review + +All feature specifications, plans, and implementations MUST be reviewed for constitutional compliance. Reviewers MUST verify: +- Specification precedes implementation +- Tests written before code +- User stories are independently testable +- Complexity is justified in Complexity Tracking table when needed +- Required documentation is complete and current + +### Conflicts & Precedence + +This constitution supersedes all other development guidelines, practices, or conventions. When conflicts arise, this document governs. If this constitution is unclear or incomplete for a specific situation, propose an amendment rather than work around it. + +**Version**: 1.0.0 | **Ratified**: 2025-10-14 | **Last Amended**: 2025-10-14 diff --git a/specs/001-build-an-application/checklists/requirements.md b/specs/001-build-an-application/checklists/requirements.md new file mode 100644 index 0000000..b891c15 --- /dev/null +++ b/specs/001-build-an-application/checklists/requirements.md @@ -0,0 +1,82 @@ +# Specification Quality Checklist: Anonymous Feedback Platform (Reklamator) + +**Purpose**: Validate specification completeness and quality before proceeding to planning +**Created**: 2025-10-14 +**Feature**: [spec.md](../spec.md) + +## Content Quality + +- [x] No implementation details (languages, frameworks, APIs) +- [x] Focused on user value and business needs +- [x] Written for non-technical stakeholders +- [x] All mandatory sections completed + +## Requirement Completeness + +- [x] No [NEEDS CLARIFICATION] markers remain +- [x] Requirements are testable and unambiguous +- [x] Success criteria are measurable +- [x] Success criteria are technology-agnostic (no implementation details) +- [x] All acceptance scenarios are defined +- [x] Edge cases are identified +- [x] Scope is clearly bounded +- [x] Dependencies and assumptions identified + +## Feature Readiness + +- [x] All functional requirements have clear acceptance criteria +- [x] User scenarios cover primary flows +- [x] Feature meets measurable outcomes defined in Success Criteria +- [x] No implementation details leak into specification + +## Validation Results + +### Content Quality Review + +✅ **PASS** - The specification is free of implementation details. All requirements focus on what the system must do, not how it should be implemented. Technology choices (AI service, storage mechanism) are mentioned only in Assumptions section where appropriate. + +✅ **PASS** - The specification centers on user value: anonymous feedback submission, AI-powered analysis for product owners, and efficient dashboard access. Business needs are clearly articulated. + +✅ **PASS** - Language is accessible to non-technical stakeholders. Technical jargon is minimal and necessary terms (e.g., "API timeout") are used only in edge cases. + +✅ **PASS** - All mandatory sections are present and complete: User Scenarios & Testing, Requirements, Success Criteria. + +### Requirement Completeness Review + +✅ **PASS** - No [NEEDS CLARIFICATION] markers remain in the specification. All ambiguities have been resolved with reasonable defaults. + +✅ **PASS** - All 64 functional requirements are testable and unambiguous. Each requirement uses clear language (MUST) and specific criteria (e.g., "10MB per file", "10,000 characters", "3 files maximum"). + +✅ **PASS** - Success criteria include specific metrics: completion times (under 1 minute, under 30 seconds), accuracy thresholds (80%, 99%), performance targets (1000 items, 100 concurrent users), and qualitative measures (translation comprehensibility). + +✅ **PASS** - Success criteria are technology-agnostic, focusing on user-observable outcomes like "users can submit in under 1 minute" rather than "API response time is X ms". + +✅ **PASS** - Each user story includes detailed acceptance scenarios in Given-When-Then format covering normal flows, edge cases, and error conditions. + +✅ **PASS** - Edge cases section identifies 13 specific boundary conditions and error scenarios to be addressed during implementation. + +✅ **PASS** - Scope is clearly bounded with comprehensive "Out of Scope" section listing 15 items explicitly excluded (multilingual UI, real-time chat, mobile apps, advanced analytics, etc.). + +✅ **PASS** - Assumptions section lists 15 explicit assumptions about technology choices, operational constraints, and scale expectations. Dependencies are implicit in user story priorities. + +### Feature Readiness Review + +✅ **PASS** - All 64 functional requirements are traceable to acceptance scenarios in the user stories. Requirements are organized by functional area for clarity. + +✅ **PASS** - Four user stories cover the complete feature lifecycle: feedback submission (P1), AI analysis (P2), dashboard access (P3), and product management (P4). Each story is independently testable. + +✅ **PASS** - The specification defines 14 measurable success criteria that will determine if the feature meets its goals. + +✅ **PASS** - No implementation details are present in the requirements. Storage mechanism, AI service choice, and authentication method are appropriately deferred to planning phase. + +## Notes + +- Specification is ready for `/speckit.plan` phase +- All quality criteria passed on first validation +- User stories are properly prioritized and independently testable +- Clear separation maintained between WHAT (requirements) and HOW (implementation) +- Reasonable defaults applied for file size limits, character limits, and rate limiting based on standard practices + +## Recommendation + +✅ **APPROVED** - Specification meets all quality criteria and is ready to proceed to implementation planning phase. diff --git a/specs/001-build-an-application/spec.md b/specs/001-build-an-application/spec.md new file mode 100644 index 0000000..be0216e --- /dev/null +++ b/specs/001-build-an-application/spec.md @@ -0,0 +1,264 @@ +# Feature Specification: Anonymous Feedback Platform (Reklamator) + +**Feature Branch**: `001-build-an-application` +**Created**: 2025-10-14 +**Status**: Draft +**Input**: User description: "Build an application enables users to anonymously hand in ideas, feature requests, bugs and complaints for a product or a service. The feedback will be then analysed using a modern ai model and translated to a language of the responsible person of that product or service. The analysis as well as belonging the documents or images will be stored toghether as files in a folder. The results are accessible for responsible persons of that product or service in a dashboard. The user is free to submit the feedback in any form or language in a text area. In addition to that he can upload up to three documents or images. The Idea is to lower barriers for feedback and to make it easier to get feedback from users." + +## User Scenarios & Testing *(mandatory)* + +### User Story 1 - Anonymous Feedback Submission (Priority: P1) + +As an end user of a product or service, I want to submit feedback (ideas, bugs, complaints, feature requests) completely anonymously in any language without requiring authentication, so that I can share my thoughts without barriers or fear of identification. + +**Why this priority**: This is the core value proposition - enabling barrier-free feedback submission. Without this, the entire application has no purpose. It must be the first deliverable. + +**Independent Test**: Can be fully tested by visiting a feedback submission form for a product, entering feedback text in any language, optionally uploading up to 3 files (documents/images), and successfully submitting without any login or personal information required. The submission should complete and provide confirmation to the user. + +**Acceptance Scenarios**: + +1. **Given** I am on a product's feedback submission page, **When** I enter feedback text in English and click submit, **Then** I see a success confirmation message and my feedback is recorded +2. **Given** I am on a feedback submission page, **When** I enter feedback text in German, Spanish, Japanese, or any other language, **Then** the system accepts my feedback without language restrictions +3. **Given** I am entering feedback, **When** I attach 1 document (PDF, DOCX, TXT) or image (JPG, PNG), **Then** the file is uploaded and associated with my feedback +4. **Given** I am entering feedback, **When** I attach 3 documents/images (at maximum limit), **Then** all files are successfully uploaded +5. **Given** I have attached 3 files, **When** I attempt to attach a 4th file, **Then** the system prevents the upload and informs me of the 3-file limit +6. **Given** I submit feedback, **When** the submission completes, **Then** no personal identifying information about me is stored or required +7. **Given** I submit feedback with only text and no files, **When** the submission completes, **Then** the feedback is accepted successfully +8. **Given** I submit feedback with only files and no text, **When** the submission completes, **Then** the feedback is accepted successfully + +--- + +### User Story 2 - AI-Powered Feedback Analysis and Translation (Priority: P2) + +As a product owner or service manager, I want submitted feedback to be automatically analyzed by AI to categorize it (idea, bug, complaint, feature request), summarize key points, and translate it to my preferred language, so that I can quickly understand feedback regardless of the original language it was submitted in. + +**Why this priority**: This is the intelligence layer that adds value beyond basic feedback collection. It enables product owners to efficiently process multilingual feedback. It depends on P1 (feedback must be submitted first), but can be developed and tested independently once P1 exists. + +**Independent Test**: Can be tested by submitting feedback in various languages (e.g., German, French, Japanese) through the submission form and verifying that the analysis produces: (1) correct categorization (idea/bug/complaint/feature request), (2) a concise summary in the product owner's preferred language, (3) accurate translation of the original text, and (4) proper storage of analysis results with the original feedback. + +**Acceptance Scenarios**: + +1. **Given** feedback has been submitted in Spanish, **When** AI analysis runs, **Then** the feedback is correctly categorized as one of: idea, bug, complaint, or feature request +2. **Given** feedback has been submitted in Japanese, **When** AI analysis runs with target language set to English, **Then** the feedback text is accurately translated to English +3. **Given** feedback contains a detailed description, **When** AI analysis runs, **Then** a concise summary (2-3 sentences) is generated capturing the main points in the target language +4. **Given** feedback includes uploaded images, **When** AI analysis runs, **Then** images are stored as visual attachments (OCR is not performed) +5. **Given** AI analysis completes, **When** storing results, **Then** the original feedback, translation, summary, category, and all uploaded files are stored together in a structured format +6. **Given** AI analysis encounters an error or unsupported language, **When** storing results, **Then** the system flags the feedback as requiring manual review and stores the original content intact +7. **Given** feedback is submitted in the same language as the product's target language, **When** AI analysis runs, **Then** categorization and summary still occur but translation may be skipped or indicate "original language" + +--- + +### User Story 3 - Product Owner Dashboard Access (Priority: P3) + +As a product owner or responsible person for a product/service, I want to access a dashboard where I can view all feedback submitted for my product, including the AI analysis results, translations, and attached files, so that I can review and act on user feedback efficiently. + +**Why this priority**: This completes the feedback loop by making analyzed feedback accessible. It's lower priority because feedback can still be collected and analyzed without the dashboard (results could be accessed via file system initially). However, it's essential for production use. + +**Independent Test**: Can be tested by authenticating as a product owner, navigating to the dashboard, and verifying that all feedback items for their product(s) are displayed with: original text, translation, AI summary, category, submission date, and links to any attached files. The dashboard should be filterable and searchable. + +**Acceptance Scenarios**: + +1. **Given** I am a product owner with credentials, **When** I log into the dashboard, **Then** I see only feedback related to my assigned product(s) +2. **Given** I am viewing the dashboard, **When** I click on a feedback item, **Then** I see the complete details including original text, detected original language, translation, AI summary, category, submission timestamp, and any attached files +3. **Given** there are multiple feedback items, **When** I use the filter controls, **Then** I can filter by category (idea/bug/complaint/feature request) +4. **Given** there are multiple feedback items, **When** I use the filter controls, **Then** I can filter by date range +5. **Given** there are multiple feedback items, **When** I use the filter controls, **Then** I can filter by original language of submission +6. **Given** I am viewing a feedback item with attached files, **When** I click on a file link, **Then** the file (document or image) opens or downloads for viewing +7. **Given** there are many feedback items, **When** I use the search function, **Then** I can search by keywords in original text, translation, or summary +8. **Given** I am viewing the dashboard, **When** new feedback is submitted and analyzed, **Then** it appears in my dashboard (within reasonable timeframe) +9. **Given** I am viewing a feedback item, **When** I mark it with a status (reviewed, in progress, resolved, rejected), **Then** the status is saved and visible on subsequent views + +--- + +### User Story 4 - Product/Service Registration and Management (Priority: P4) + +As a platform administrator, I want to register new products or services in the system and assign responsible persons (product owners) to them, so that feedback can be properly routed and access controlled. + +**Why this priority**: This is administrative infrastructure needed for multi-product support. It's lower priority because the MVP could work with a single hardcoded product. However, it's necessary for a scalable production system. + +**Independent Test**: Can be tested by logging in as an administrator, creating a new product/service entry with details (name, description, preferred language for translations), assigning one or more product owners to it, and verifying that the product appears in the system with a unique feedback submission URL and that assigned owners can access its feedback in their dashboards. + +**Acceptance Scenarios**: + +1. **Given** I am an administrator, **When** I create a new product entry with name, description, and preferred language for feedback translations, **Then** the product is registered and assigned a unique identifier +2. **Given** a product exists, **When** I assign a user as a product owner, **Then** that user gains access to view feedback for this product in their dashboard +3. **Given** a product is registered, **When** I request the feedback submission URL, **Then** I receive a unique URL that end users can use to submit feedback for this specific product +4. **Given** multiple products exist, **When** feedback is submitted via a product-specific URL, **Then** the feedback is correctly associated with that product and only visible to its assigned owners +5. **Given** a product exists, **When** I update the preferred translation language setting, **Then** future feedback translations for this product use the new language preference +6. **Given** a product is registered, **When** I view its settings, **Then** I can see statistics like total feedback count, submission URL, and assigned owners +7. **Given** a product has historical feedback, **When** I archive the product, **Then** the feedback is preserved but the product is marked inactive and new submissions are disabled + +--- + +### Edge Cases + +- What happens when a user uploads a file exceeding the maximum file size limit (assumed 10MB per file)? +- What happens when a user uploads an unsupported file type (e.g., executable, compressed archive)? +- How does the system handle extremely long feedback text (e.g., 10,000+ characters)? +- What happens if AI analysis fails (API timeout, service unavailable, unrecognizable content)? +- How does the system handle feedback submitted in languages not supported by the translation model? +- What happens when a user submits feedback with no text content (only files)? +- What happens when a user submits completely empty feedback (no text, no files)? +- How does the system handle identical or near-identical duplicate submissions? +- What happens if a product owner is assigned to multiple products - how is the dashboard view organized? +- How does the system handle image files that are too large or in exotic formats? +- What happens when a user's browser doesn't support JavaScript - does the submission still work? +- How does the system handle concurrent submissions from the same anonymous user? +- What happens when a product owner tries to download a file that has been corrupted or deleted from storage? + +## Requirements *(mandatory)* + +### Functional Requirements + +#### Feedback Submission + +- **FR-001**: System MUST provide a public, unauthenticated feedback submission form accessible via a unique URL for each product/service +- **FR-002**: System MUST accept feedback text input of any length up to a reasonable maximum (10,000 characters) +- **FR-003**: System MUST accept feedback text in any language without restrictions or validation on character sets +- **FR-004**: System MUST allow users to optionally attach up to 3 files per feedback submission +- **FR-005**: System MUST support document file formats including PDF, DOCX, TXT, and common image formats (JPG, PNG, GIF, WebP) +- **FR-006**: System MUST enforce a maximum file size limit per attachment (10MB per file) +- **FR-007**: System MUST NOT require or collect any personal identifying information from feedback submitters +- **FR-008**: System MUST provide clear confirmation to users when feedback submission succeeds +- **FR-009**: System MUST provide clear error messages when submission fails, without exposing system internals +- **FR-010**: System MUST prevent users from attaching more than 3 files to a single submission +- **FR-011**: System MUST accept feedback submissions that contain only text, only files, or both +- **FR-012**: System MUST reject completely empty submissions (no text and no files) + +#### AI Analysis and Translation + +- **FR-013**: System MUST automatically analyze submitted feedback using an AI model to categorize it as one of: idea, feature request, bug, or complaint +- **FR-014**: System MUST generate a concise summary (2-3 sentences maximum) of the feedback content in the product's target language +- **FR-015**: System MUST translate the feedback text to the target language specified for the product/service +- **FR-016**: System MUST preserve the original feedback text alongside the translation +- **FR-017**: System MUST detect and record the original language of the submitted feedback +- **FR-018**: System MUST handle feedback in any language supported by the AI translation model (minimum 50 languages) +- **FR-019**: System MUST complete AI analysis and translation asynchronously to avoid blocking the user's submission +- **FR-020**: System MUST store analysis failures gracefully and flag feedback items that could not be analyzed +- **FR-021**: System MUST treat uploaded images as visual attachments (OCR is not performed) +- **FR-022**: System MUST handle document attachments as reference materials without extracting text for analysis +- **FR-023**: System MUST attempt to generate summary and category even when translation fails + +#### Data Storage + +- **FR-024**: System MUST store feedback, translations, summaries, categories, and attached files together as a cohesive unit +- **FR-025**: System MUST organize stored feedback by product/service identifier +- **FR-026**: System MUST preserve original filenames and file types for attachments +- **FR-027**: System MUST record submission timestamp for each feedback item +- **FR-028**: System MUST ensure stored feedback is accessible for retrieval by authorized product owners +- **FR-029**: System MUST maintain data integrity between feedback items and their associated files +- **FR-030**: System MUST store the detected or specified language of the original feedback submission +- **FR-031**: System MUST organize files on disk by product and feedback item (folder structure as described: feedback + attachments stored together) + +#### Dashboard and Access Control + +- **FR-032**: System MUST provide an authenticated dashboard for product owners to view feedback +- **FR-033**: System MUST restrict dashboard access so product owners only see feedback for their assigned products +- **FR-034**: System MUST display feedback with all analysis results: original text, original language, translation, AI summary, category, and timestamp +- **FR-035**: System MUST provide links to download or view attached files from the dashboard +- **FR-036**: System MUST support filtering feedback by category (idea, bug, complaint, feature request) +- **FR-037**: System MUST support filtering feedback by date range +- **FR-038**: System MUST support filtering feedback by original language +- **FR-039**: System MUST support filtering feedback by status (if product owner has marked items) +- **FR-040**: System MUST support searching feedback by keyword across original text, translation, and summary +- **FR-041**: System MUST display feedback in reverse chronological order (newest first) by default +- **FR-042**: System MUST allow product owners to mark feedback with status indicators (new, reviewed, in progress, resolved, rejected) +- **FR-043**: System MUST preserve status indicators when filtering or searching +- **FR-044**: System MUST display file attachments with thumbnails for images and appropriate icons for documents + +#### Product/Service Management + +- **FR-045**: System MUST allow administrators to register new products or services +- **FR-046**: System MUST require each product to have a unique name and identifier +- **FR-047**: System MUST allow setting a preferred target language for translations for each product +- **FR-048**: System MUST allow assigning one or more product owners to each product +- **FR-049**: System MUST generate a unique feedback submission URL for each registered product +- **FR-050**: System MUST support multiple products in the system simultaneously +- **FR-051**: System MUST allow updating product details and owner assignments +- **FR-052**: System MUST allow archiving products without deleting historical feedback +- **FR-053**: System MUST prevent new feedback submissions to archived products +- **FR-054**: System MUST display product statistics (total feedback count, date created, active/archived status) + +#### Security and Privacy + +- **FR-055**: System MUST ensure complete anonymity for feedback submitters (no IP logging, session tracking, or fingerprinting for identification purposes) +- **FR-056**: System MUST authenticate product owners and administrators before granting dashboard access +- **FR-057**: System MUST prevent unauthorized access to feedback data +- **FR-058**: System MUST prevent directory traversal or unauthorized file access +- **FR-059**: System MUST validate and sanitize all file uploads to prevent malicious file uploads +- **FR-060**: System MUST scan uploaded files for malware before storage +- **FR-061**: System MUST implement rate limiting on the submission form to prevent abuse (suggested: 10 submissions per hour per IP) +- **FR-062**: System MUST retain feedback data indefinitely unless manually deleted by administrators +- **FR-063**: System MUST use secure password storage (hashing) for product owner and administrator accounts +- **FR-064**: System MUST use HTTPS for all communications + +### Key Entities + +- **Feedback Submission**: Represents a single feedback item submitted by an anonymous user. Contains: original text, original language, submission timestamp, category (assigned by AI), associated product identifier, status indicator, and references to attached files. + +- **Product/Service**: Represents a product or service for which feedback can be collected. Contains: unique identifier, name, description, preferred language for translations, submission URL slug, assigned product owners, active/archived status, and creation date. + +- **Analysis Result**: Represents the AI-generated analysis of a feedback submission. Contains: translated text, summary (in target language), detected category, original language detection, analysis timestamp, confidence scores, and any error information if analysis failed. + +- **Attachment**: Represents a file (document or image) uploaded with feedback. Contains: filename, file type, file size, storage location reference, upload timestamp, and association with parent feedback submission. + +- **Product Owner**: Represents an authenticated user responsible for reviewing feedback for one or more products. Contains: authentication credentials (email/password), name, assigned product identifiers, and access permissions. + +- **Administrator**: Represents a privileged user who can register products, assign owners, manage system configuration, and access all feedback across products. Contains: authentication credentials, name, and admin privileges. + +## Success Criteria *(mandatory)* + +### Measurable Outcomes + +- **SC-001**: Users can submit feedback in under 1 minute, including optional file uploads +- **SC-002**: System accepts feedback in at least 50 different languages without errors +- **SC-003**: AI analysis correctly categorizes feedback with at least 80% accuracy when tested against manually labeled samples +- **SC-004**: Translation quality is comprehensible and captures the main intent of the original feedback (measured by native speaker review of sample translations) +- **SC-005**: Feedback submissions complete successfully 99% of the time (1% allowed for network failures outside system control) +- **SC-006**: Product owners can find specific feedback using search or filters within 30 seconds +- **SC-007**: AI analysis and translation complete within 30 seconds of submission for 95% of feedback items +- **SC-008**: Dashboard loads and displays up to 1000 feedback items without noticeable performance degradation (under 3 seconds) +- **SC-009**: Attached files (documents and images) are viewable and downloadable without corruption in 99.9% of cases +- **SC-010**: Zero personal identifying information is stored for feedback submitters (verified by data audit) +- **SC-011**: Product owners can only access feedback for their assigned products (verified by access control testing - 100% isolation) +- **SC-012**: System handles at least 100 concurrent feedback submissions without errors or slowdowns +- **SC-013**: File upload and storage maintains data integrity (checksums match) in 100% of successful uploads +- **SC-014**: Dashboard search returns relevant results in under 2 seconds for databases with 10,000+ feedback items + +## Assumptions + +- AI translation and analysis will use a third-party service or model (e.g., OpenAI GPT, Google Translate API, DeepL, or similar) +- Application interface will be in English (single language UI) +- Standard web-based application accessible via modern browsers (Chrome, Firefox, Safari, Edge - latest 2 versions) +- File uploads will be scanned for malware/viruses before storage using standard antivirus tools or services +- Maximum of 10MB per file attachment is reasonable for typical user feedback scenarios +- Product owners will have email-based accounts with password authentication +- Administrators will be managed through a separate privileged interface or initial configuration +- The system will support at least 50 major languages for feedback content via the AI model +- Feedback submissions are retained indefinitely unless manually deleted by administrators +- Dashboard will be a web-based responsive interface accessible on desktop and tablet devices +- Single translation language per product (one preferred language, not multiple simultaneous translations) +- Anonymous submission means no authentication required, but basic security measures (rate limiting, CAPTCHA if needed) are acceptable +- Text-based feedback is the primary input; file attachments are supplementary +- File storage will be on local disk or cloud storage (S3, similar) with folder-based organization +- Products will be managed by administrators, not self-service registration +- Initial MVP supports up to 100 products and 10,000 feedback items per product + +## Out of Scope + +- Multilingual user interface (application will be in English only) +- Real-time chat or back-and-forth communication with feedback submitters +- Public display or sharing of feedback (all feedback is private to product owners) +- Voting, rating, or community engagement features on feedback +- Native mobile applications (responsive web interface is in scope) +- Advanced analytics, trending, sentiment analysis graphs, or reporting dashboards (basic filtering/search only) +- Automated email notifications for new feedback (may be added in future iterations) +- Integration with external project management or issue tracking systems (Jira, Trello, GitHub Issues, etc.) +- Video file uploads (documents and images only) +- Real-time collaboration features for product owners (commenting, assigning within the system) +- Automated feedback categorization training or model improvement by product owners +- Advanced sentiment analysis beyond the four basic categories (idea, bug, complaint, feature request) +- Multi-tenant SaaS with self-service product registration (administrator-managed only) +- Bulk import/export of feedback data +- API access for external systems +- Custom branding or white-labeling per product