-
Notifications
You must be signed in to change notification settings - Fork 0
Features & Usage Guide
A walkthrough of every major feature in Career Intelligence, from the analytics dashboard to interview prep guides.
The root page (/dashboard) provides a real-time overview of your job search with a responsive row-based layout:
Three summary cards in a horizontal strip:
- Total Applications Submitted — Count of all tracked opportunities with an application date
- Total Open Applications — Opportunities with active status (applied, interviewing)
- Assessed Opportunities — Total opportunities tracked
- 4-week rolling view of application activity in a full-width card
- TWC (Texas Workforce Commission) week structure (Sunday–Saturday)
- Color-coded: green for weeks meeting the 5-application target, red for below
- Clickable cards link to filtered opportunity views for that week
Side-by-side layout (3/5 + 2/5 width on large screens, stacked on mobile):
-
Top 4 Tech Skills to Focus On — Role-specific technology recommendations from
RoleFocusAnalyzer, with percentage and count data - Source Distribution — Horizontal bar chart showing where opportunities originate
- Grid of role-specific focus area cards for non-primary roles
- Color-coded by role type with insight recommendations
Each opportunity is linked to a company and includes:
- Core fields: Position title, application date, status, remote type, source, listing URL
- Salary tracking: Free-text salary range with automatic standardization (converts "110k-125k" → "$110,000 - $125,000")
- Scoring: Fit score (0-10), trajectory score (1-10), strategic value, bus factor
- Income details: Income range low/high, retirement plan type, company size, risk level
- Technology selection: Checkboxes grouped by category (75 technologies), plus free-text for unlisted technologies
- Match tracking: ChatGPT match, Jobright match, LinkedIn match fields
- Role-specific fields: Dynamic form section that changes based on selected role type
When you select a role type, additional fields appear:
| Role | Additional Fields |
|---|---|
| Software Engineer | Tech stack importance, required/nice-to-have technologies, architecture type, team size, greenfield vs. legacy |
| Sales Engineer | Sales motion, deal type, ACV range, quota type, customer persona, demo intensity, pressure sources, energy type |
| Solutions Engineer | Implementation and customer success fields |
| Product Manager | Product stage/type, PM type, engineering ratio, stakeholder complexity, roadmap horizon |
| Support Engineer | Support workflow-specific fields |
| Success Engineer | Customer lifecycle-specific fields |
The opportunities index supports:
- Text search by company name
- Status filter dropdown
- Date range filtering
- Column sorting on: position title, application date, status, remote type, tech stack, created date, salary range, bus factor, role type, and company name
Export all opportunities (with metadata) to CSV from the index page for external analysis in spreadsheets or other tools.
- Basic: Name (case-insensitive unique), industry, location, website, LinkedIn
- Classification: Company type (Product, Consultancy, Staffing), size, funding stage
- Market analysis: Primary product, competitor tier, growth signal, tech disruption risk, and additional market intelligence fields
-
Tech stack: Aggregated from associated opportunities via
tech_stack_summaryandfull_tech_stack_summarymethods
Website and LinkedIn URLs are automatically shortened via is.gd when saved or updated.
Filter companies by associated technology from opportunities.
- Contacts belong to a company
- Fields: name, title, email, phone, LinkedIn, about, notes
- LinkedIn URLs are automatically shortened
- Sortable by: name, title, email, phone, created date, and company
Each session links to an opportunity and optionally to a contact:
| Field | Options |
|---|---|
| Stage | Recruiter, Hiring Manager, Technical, Panel, Take-Home, Final, Other |
| Format | Phone, Video, Onsite, Async |
| Status | Planned, Completed, Cancelled |
| Overall Signal | Strong Yes, Yes, Neutral, No, Strong No |
| Confidence Score | 0-10 scale |
| Duration | Minutes |
- Questions they asked — Record what was asked
- Questions I asked — Track your questions for pattern analysis
- Follow-ups — Action items after the interview
- Next steps — What's expected next in the process
- Notes — Rich text (ActionText) for detailed session notes
- Sortable by all key columns including company, opportunity, and contact
- CSV export for external analysis
STAR (Situation, Task, Action, Result) stories for behavioral interview preparation.
- Core STAR: Situation, Task, Action, Result
- Metadata: Title, skills (array), category, notes
- Scoring: Strength score (1-10), times used (auto-tracked), last used date
- Outcome: Advanced, Rejected, Offer, Unknown
Incident, Technical Mistake, Leadership, DevOps, Refactor, Conflict, Architecture, Scaling, Problem Solving, Collaboration, Innovation
-
mark_as_used!incrementstimes_usedand updateslast_used_at - Link stories to specific opportunities via
StarStoryOpportunity -
complete?andincomplete_fieldsmethods help identify stories that need more detail
- Top rated — Highest strength scores
- Frequently used — Most used stories
- By category — Filter by category
- Successful — Stories with positive outcomes
Export all STAR stories with skills and outcome data.
Interview preparation documents that can be auto-generated from opportunities.
Create a resource sheet with:
- Title, role type, version label
- Company and/or opportunity association
- Content sections: About Me, Why Company, Why Me, Salary, Notes
- Each section has both a content field (prose) and a bullets field (key points)
Use Generate from Opportunity to create a draft resource sheet pre-populated with:
- Company and opportunity context
- Role type from the opportunity
- Starter sections based on available opportunity data
Toggle resource sheets as active or inactive to manage which are current.
Four specialized question guides, each with seeded questions and the ability to add custom entries:
Questions about past experiences with:
- Question text and its deeper meaning
- Recommended response approach
- Example response
- Common pitfalls to avoid
- Why the approach is strong
Technical interview questions with the same structured format.
Questions to ask interviewers — demonstrates engagement and gathers intelligence about the role/company.
Questions collected from actual interviews — a growing library of real-world interview questions encountered during the search.
Each guide supports adding your own questions via the ResourceGuideQuestion form, categorized by guide_type.
Unauthenticated visitors can browse the app in read-only mode:
- All pages are viewable using the demo user's seed data
- Write operations (create, update, delete) are blocked and redirect to root with an alert
- Useful for portfolio review — visitors can explore the full feature set without registering
← Architecture & Technical Design | Data-Driven Job Search Strategy →