fitzcrm.com / Documentation
Version 1.0 · Last updated May 2026
Instructional Manual

Fitz CRM Documentation

1.1 What is Fitz CRM?

Fitz CRM is a purpose-built sales and marketing platform for B2B healthcare SaaS teams. It combines four core capabilities into one platform:

ModuleWhat It Does
Core CRMManage contacts, companies, deals, leads, and all sales activities
AI Sales IntelligenceGet Claude-powered analysis on your pipeline, deals, and contacts
Content ProductionPlan, generate, and publish AI-powered marketing content
Employee AdvocacyAutomate LinkedIn posting for your team using AI-personalized content

Who uses Fitz CRM:

💡 Tip: Fitz CRM is multi-tenant. Your data is completely isolated from other organizations. You'll only ever see your team's records.

1.2 Logging In

  1. Open your browser and go to app.fitzcrm.com
  2. Enter your email address and password
  3. Click Sign In
⚠️ Important: Fitz CRM uses JWT-based authentication. Sessions expire after a period of inactivity. If you're logged out unexpectedly, simply log back in.

1.3 Navigating the Interface

The interface is organized around a left-side navigation bar with the following sections:

Main Navigation:

LabelModule
DashboardHome — pipeline summary, AI insights, recent activity
ContactsContact management
CompaniesAccount-level views
DealsPipeline and deal management
LeadsInbound and qualified leads
ActivitiesAll activity log across contacts and deals
SignalsBuying intent alerts
ConferencesEvent and conference lead tracking

Content Section:

LabelModule
BrandsMulti-brand content management
Article PromptsKanban content planning board
ArticlesArticle library (table + grid)
RSS FeedsResearch source management
ResearchRSS-sourced research articles

Advocacy Section:

LabelModule
Advocacy PostsYour LinkedIn post queue
CampaignsTeam-wide advocacy campaigns
Content SourcesWhat triggers advocacy posts
ProfilesTeam member voice profiles

Intelligence Section:

LabelModule
AI InsightsActionable recommendations
Pipeline ReviewFull-pipeline AI narrative
ForecastRevenue forecast
Ask AINatural language CRM queries

1.4 Your User Profile & Settings

  1. Click your name or avatar in the top-right corner
  2. Select Profile to update your name, email, or password
  3. Select Settings to configure tenant-level preferences (Admin only)
💡 Tip: Keep your profile up to date — AI-generated advocacy posts use your name, role, and voice profile.

1.5 Understanding Roles & Permissions

RoleAccess
AdminFull access — manage users, settings, all records across the tenant
ManagerRead/write on all records; access to reports and team views
RepRead/write on own records; can view shared pipeline

2.1 Contacts — Overview

Contacts are individual people in your CRM — prospects, customers, champions, or blockers. Every contact belongs to a Company. Contacts have:

💡 Tip: A single company can have multiple contacts. Always link contacts to their company to get the full account view.

2.2 Creating & Editing Contacts

To create a contact:

  1. Click Contacts in the left nav
  2. Click + New Contact (top right)
  3. Fill in: First Name, Last Name, Email (used for deduplication), Phone (optional), Title / Role
  4. Search for and select their Company — or create a new one inline
  5. Set Lead Status: New, Qualified, Opportunity, Customer, or Lost
  6. Click Save

To edit a contact:

  1. Click the contact's name from the list
  2. Click the Edit button (pencil icon) on any field
  3. Make changes and click Save
⚠️ Important: Email is the primary deduplication key. Before creating a new contact, search by email first to avoid duplicates.
💡 Tip: Always fill in Title/Role — the AI uses this to determine decision-making authority and generate relevant advocacy posts.

2.3 Companies — Overview

Companies are account-level records representing the organizations you sell to (hospitals, health systems, medical groups). A company has:

2.4 Creating & Editing Companies

  1. Click Companies in the left nav → + New Company
  2. Fill in: Company Name, Industry, Employee count, Website, State / Region
  3. Click Save
💡 Tip: Before creating a deal, check if the company already exists. Duplicate records fragment account history.

2.5 Deals — Overview

Deals represent active sales opportunities. Each deal lives in a Pipeline and moves through Stages as it progresses toward close. A deal contains:

2.6 Creating & Managing Deals

  1. Click Deals+ New Deal
  2. Fill in: Deal Name, Pipeline, Stage, Value ($), Close Date, Owner
  3. Link the Contact and Company
  4. Click Save
💡 Tip: Add a realistic close date at deal creation. The AI Forecast uses this to weight pipeline. Deals with no close date won't appear in forecast calculations.
⚠️ Important: When a deal is marked Closed Lost, always log an activity note with the loss reason (e.g., "Lost to IOD — price, 3-year contract incumbent"). This data is critical for win/loss analysis.

2.7 Moving Deals Through the Pipeline

Option 1: From the deal record

  1. Open the deal
  2. Click Advance Stage in the deal header
  3. Select the new stage → Confirm

Option 2: Kanban view

  1. Go to Deals → Pipeline View
  2. Drag and drop the deal card to the new stage column

Default stage definitions (Provider Sales pipeline):

StageMeaning
DiscoveryInitial call held; interest confirmed
Demo ScheduledDemo on calendar
Demo CompleteDemo delivered
ProposalPricing/proposal sent
NegotiationContract/legal review in progress
Closed WonContract signed
Closed LostDeal ended without a contract
💡 Tip: Move deals the same day the status changes. Stale stage data gives the AI Forecast false readings.

2.8 Leads — Overview

Leads are early-stage prospects who haven't yet been fully qualified. They flow in from: manual creation by BDRs, conference contact imports, landing page form submissions, and inbound marketing channels. A lead has contact info, lead status lifecycle (New → Contacted → Qualified → Converted / Disqualified), source, and assigned owner.

2.9 Qualifying & Converting Leads

To qualify a lead:

  1. Open the lead record
  2. Click Qualify — moves lead to Qualified status
  3. Add an activity note explaining what qualified them

To convert a qualified lead into a Deal:

  1. Open the qualified lead record
  2. Click Convert Lead
  3. Choose whether to create a new Contact + Company record or link to an existing one
  4. Create the Deal (pipeline, stage, value, close date, owner)
  5. Click Convert — lead status updates to Converted
⚠️ Important: Conversion creates the deal but doesn't delete the lead. Lead history is preserved for attribution reporting.
💡 Tip: Don't sit on qualified leads. Convert them to deals the same day — it keeps pipeline accurate and ensures AEs get notified promptly.

2.10 Logging Activities (Calls, Emails, Notes, Tasks)

TypeWhen to Use
CallAny phone conversation (connected or voicemail)
EmailSent or received emails worth documenting
NoteInternal context, research, or intel about a contact/deal
TaskFuture action you need to take (follow-up, send proposal, etc.)
  1. Open the contact or deal record
  2. Scroll to Activity+ Log Activity
  3. Select type, fill in outcome/notes/due date, click Save
💡 Tip: The more detail in your notes, the better the AI can help. "Spoke with Sarah — interested" gets you mediocre insights. "Sarah is HIM Director at Banner Health, contract up Oct 2026, pain: 3-week turnaround, demo set Thu 2pm" gets you relevant next steps.

2.11 Pipelines — Creating & Configuring

  1. Go to Settings → Pipelines (Admin only)
  2. Click + New Pipeline
  3. Name the pipeline, add stages in order, set win probability % per stage
  4. Click Save
💡 Tip: Keep pipelines simple. 5–7 stages is ideal. Too many stages creates friction for reps and dilutes forecast accuracy.
⚠️ Important: Changing stage names on an active pipeline updates all existing deals in that stage.

2.12 Conferences & Event Lead Management

  1. Click Conferences+ New Conference
  2. Fill in name, dates, location, notes → Save
  3. Add contacts individually or Import Contacts (CSV: First Name, Last Name, Email, Title, Company)
💡 Tip: Create conference contacts immediately after scanning badges. Memory fades fast — "mentioned they're switching vendors in Q3" is worth gold 3 weeks later.

2.13 Signals — Buying Intent Alerts

Signals surface buying intent triggers on your contacts: job changes, funding events, pricing page visits. To act on a signal:

  1. Click Signals in the left nav
  2. Click a signal to open the associated contact or deal
  3. Log an activity, then click Resolve
  4. For false positives: click Dismiss

To run manual detection: click Detect Now on the Signals page.

💡 Tip: Signals are most valuable when you act within 24 hours. A job change or funding announcement is a reason to reach out. After a week, the moment has passed.

3.1 Understanding AI Insights

AI Insights are Claude-generated action items surfaced from your CRM data. They appear on the AI Insights page, on individual contact/deal records, and in the Pipeline Review.

TypeWhat It Is
Risk AlertDeal at risk — no activity, proposal not followed up, etc.
Action ItemSpecific next step recommended by the AI
EnrichmentMissing data that should be filled in
OpportunityCross-sell or expansion signal detected

Insight lifecycle: ActiveDismissed or Completed

3.2 Running Contact Enrichment

  1. Open the contact record
  2. Click Run Enrichment (or the AI ✨ button)
  3. Wait ~10–20 seconds for analysis
  4. Review suggestions in the AI Insights panel (missing fields, related contacts, persona assignments)

To re-score a contact: click Rescore on the contact record.

💡 Tip: Run enrichment before a call, not after. If the AI flags you don't know who their Privacy Officer is, you have time to research before the meeting.

3.3 Deal Risk Detection

The AI monitors open deals and surfaces risk signals automatically. It watches for:

⚠️ Important: Unaddressed deal risks compound. Act within 48 hours of a risk flag — deals flagged as at-risk don't get better on their own.

3.4 AI Pipeline Review

Pipeline Review gives you a full-pipeline narrative — like a deal review meeting with an analyst who read all your notes.

  1. Click AI Intelligence → Pipeline Review
  2. Click Run Pipeline Review
  3. Wait 15–30 seconds. The output includes:
💡 Tip: Run a pipeline review every Monday before your weekly team call. The AI narrative gives you 80% of what you'd cover in a 45-minute review meeting — in 30 seconds.

3.5 Revenue Forecast

  1. Click AI Intelligence → Forecast
  2. View: Committed, Best Case, Pipeline Coverage, Weighted Forecast, and AI Commentary

Forecast weighting: each pipeline stage has a win probability (set in Settings). The AI multiplies deal value × stage probability. A $100K deal in Proposal at 40% contributes $40K to the weighted forecast.

💡 Tip: If the forecast feels off, check for deals with past-due close dates. Clean those up first.

3.6 Ask AI — Natural Language CRM Queries

  1. Click AI Intelligence → Ask AI
  2. Type your question in plain English → Press Enter
Example QuestionWhat You Get
"What deals are at risk of closing this quarter?"At-risk deals with reasons
"Who at Banner Health have we talked to in the last 30 days?"Contact activity summary
"What's our average deal size for health systems?"Calculated average with deal list
"Which BDR has logged the most calls this week?"Activity summary by rep
"What are the top reasons we're losing deals?"Loss reason analysis
"Which contacts haven't been touched in 60 days?"Stale contact list
💡 Tip: Ask AI works best with specific questions. "Which deals in Proposal stage haven't had contact in 10 days?" beats "Tell me about my pipeline."

3.7 Smart Activity Logging

Smart Log parses raw call notes and extracts structured activity data.

  1. After a call, open the contact or deal record
  2. Click + Smart Log
  3. Paste your raw notes — messy is fine:
called sarah at banner health today, finally got her, she mentioned IOD contract is up in october, CFO is the budget holder, ~45k requests/month, current turnaround 19 days, target under 7, not happy with IOD support

The AI extracts: activity type, key facts (contract date, decision maker, volume, pain points), and suggested follow-up actions. Review and click Save Activity.

💡 Tip: Smart Log is designed for the moment right after a call. Don't clean up your notes first — that's the AI's job.

4.1 Brands — Multi-Brand Setup

Fitz CRM supports multiple brands under one tenant, each with its own content operations: authors, personas, article prompts, articles, and image themes.

  1. Click Content → Brands+ New Brand
  2. Fill in Brand Name, Description, Website URL → Save

Switch between brands using the brand selector in the top nav of the Content section.

💡 Tip: Set up authors, personas, and image themes for a brand before generating articles. The AI uses all three to produce brand-consistent content.

4.2 Authors — Creating Author Profiles

  1. Go to Content → Brands → [Your Brand] → Authors+ New Author
  2. Fill in: Name, Email, Title/Role, Bio, Voice/Writing Style description, Target personas
  3. Click Save
💡 Tip: The more descriptive the Voice field, the better the AI matches the author's style. "Writes like a former clinician turned sales exec — direct, uses specific numbers, not afraid to call out industry BS" produces much better output than "professional."

4.3 Personas — Defining Your Audience

Personas represent your audience segments. Each article prompt links to a persona — shaping AI tone, angle, and messaging.

  1. Go to Content → Brands → [Your Brand] → Personas+ New Persona
  2. Fill in: Name, Description, Pain points, Goals, Key messaging
  3. Click Save

Example — HIM Director persona:

Name: HIM Director Pain Points: Slow records turnaround, staff bandwidth, patient complaints, compliance exposure, vendor reliability Goals: Hit <7 day turnaround SLA, reduce manual processing, protect HIPAA compliance Key Messaging: Speed + compliance + staff relief. Emphasize automation and SLA guarantees.

4.4 Image Themes — Visual Style Guides

  1. Go to Content → Brands → [Your Brand] → Image Themes+ New Image Theme
  2. Fill in: Name (e.g., "Clean Healthcare Professional"), description of visual style, color palette/mood
  3. Click Save

4.5 Article Prompts — The Kanban Board

ColumnMeaning
BacklogIdeas collected; not yet prioritized
In ProgressActively being developed or refined
ReadyApproved prompt, ready for AI generation
PublishedArticle generated and published

To create a prompt:

  1. Go to Content → Article Prompts+ New Prompt
  2. Fill in: Title/Topic, Brand, Author, Target Persona, Content angle, Keywords (optional)
  3. Prompt starts in Backlog → click Save

To trigger AI generation:

  1. Move the prompt to Ready
  2. Click the Generate button on the card
  3. Article appears in the Article Library when complete
💡 Tip: Keep Backlog manageable. More than 20 items means your editorial calendar isn't real — it's a wishlist. Prune or prioritize quarterly.

4.6 Generating AI Articles

AI generation uses Claude to produce full-length, SEO-ready articles based on your prompt, author voice, and persona targeting. The AI uses: prompt title/angle/keywords, author voice, brand context, and persona pain points.

  1. Find the prompt in Ready status
  2. Click Run Generation
  3. Article appears in Content → Articles with status Draft when complete
⚠️ Important: AI generation uses Claude API credits. Don't run batch generation unless you intend to publish. Generated drafts that are never used still incur AI costs.

4.7 Article Library — Table & Grid Views

StatusMeaning
DraftGenerated; not reviewed
In ReviewSent for editorial review
ApprovedApproved for publish
PublishedLive
ArchivedRemoved from active rotation

To publish: open the article → click Publish. If Make.com webhook is configured, the publish event fires to your downstream automation.

4.8 RSS Feeds — Research Sources

  1. Go to Content → RSS Feeds+ New RSS Feed
  2. Paste the Feed URL, select Brand, add a Name/Label
  3. Click Test Feed to verify → Save
  4. To manually trigger a scrape: open the feed → Scrape Now
⚠️ Important: Error status means the feed stopped delivering content. Review feeds weekly and fix or remove broken sources.

4.9 Research Articles — Using RSS Content

Research Articles are scraped content from RSS feeds — surfaced for your team to use as inspiration or supporting material. Browse at Content → Research Articles. They don't publish automatically; they're input for your editorial team.

💡 Tip: Think of Research Articles as your AI-powered editorial reading list. Read, note the angle, create a new Article Prompt with your take.

4.10 Publishing Workflow

End-to-end flow from idea to published:

1
Create Article Prompt → Backlog
2
Refine and prioritize → move to In Progress
3
Finalize angle and approve → move to Ready
4
Click Generate → AI writes the article → Draft
5
Review draft → move to In Review
6
Editorial approval → move to Approved
7
Publish → status: Published → Make.com webhook fires (if configured)
8
Article lives in Article Library for future reference

5.1 Advocacy Overview — How It Works

The Employee Advocacy module turns your team into a distributed LinkedIn content machine. Posts come from individual team members in their own voice — dramatically increasing reach and engagement over company page posts.

1
Something worth sharing happens (deal closed, blog post published, company news)
2
Fitz detects it via Content Radar (AdvocacyRadarJob runs hourly)
3
AI scores relevance — is this worth posting about?
4
AI writes 3 post variants for each team member in their individual voice
5
Posts are scheduled for optimal times (Tue–Thu, 8–10 AM)
6
Each employee gets an email: "Your LinkedIn post is ready"
7
Employee clicks the link → LinkedIn opens with post pre-filled
8
Employee reviews and clicks Post on LinkedIn
9
Employee marks "Posted" in the app
💡 Why this works: 70–80% of B2B buyers check LinkedIn before a sales call. Your team collectively has 10–50× the reach of your company page. When 5 employees each post about a deal win, that's 5 personal touchpoints at companies in your target market.

5.2 Setting Up Your Advocacy Profile

FieldPurpose
NameYour full name as it appears on LinkedIn
TitleYour current role (used in voice profiling)
Autopilot ModeHow posts flow to you (see section 5.3)
TopicsAreas you're interested in posting about
Voice ProfileAI-generated writing style for your posts
StatusActive / Inactive
⚠️ Important: Keep your profile Active. Setting status to Inactive removes you from all future generation runs.

5.3 Autopilot Modes

ModeBehaviorBest For
🤖 Ghost (Auto)Posts are queued and emailed. You just click Post. No approval step.Execs and busy leaders who trust the AI
📬 Weekly DigestAI batches posts into a weekly email. You review and approve the bundle.People who want visibility without daily interruptions
Review EachEvery post pings you for explicit approval before scheduling.New users, compliance-sensitive roles
📋 Draft OnlyAI writes drafts. You control all posting manually.People who want full editorial control
💡 Tip for managers: Set new BDRs to Review Each initially — it builds habits and lets you catch tone issues. After 2–3 weeks of good posts, move them to Ghost mode to maximize throughput.

5.4 Building Your AI Voice Profile

  1. Go to Advocacy → Profiles → [Your Name]Generate Voice Profile
  2. Either enter your role/style description, or paste 3–5 sample LinkedIn posts you've written
  3. The AI generates a voice profile: tone, structure preferences, hashtag style, personal patterns
  4. Review and click Save
💡 Tip: Paste actual posts you've written — even old ones. "I write casually, use data, end with a question" is helpful. An actual post is much better. The AI picks up patterns you can't articulate.

5.5 Reviewing & Approving Posts

ActionWhat It Does
ApproveMarks post approved and schedules it
SkipRemoves this post from queue without posting
RegenerateAsks AI to write new variants
View VariantsCycles through the 3 AI-written versions (← →)
Mark PostedConfirms you posted it on LinkedIn
💡 Tip: Variant 1 is usually the most direct. Variant 2 has a storytelling angle. Variant 3 is typically question/engagement-oriented. Pick the one that feels most natural.

5.6 Posting to LinkedIn

  1. In your Post Queue, find an Approved or Queued post
  2. Click Post to LinkedIn — LinkedIn opens with your post text pre-filled
  3. Review and click Post on LinkedIn
  4. Return to Fitz CRM and click Mark Posted
⚠️ Note: Fitz CRM currently uses URL-based LinkedIn sharing — you need to click Post on LinkedIn yourself. Full LinkedIn API integration (automatic posting) is on the roadmap.
💡 Tip: The whole process takes ~10 seconds. Build it as a morning habit — check your post queue with your coffee.

5.7 Content Sources — What Triggers Posts

Source TypeWhat Triggers It
Deal ClosedAny deal moved to Closed Won above $10K (configurable)
RSS / BlogNew article published on a connected blog or news feed
News KeywordsIndustry news matching your configured keyword list
ManualAdmin creates a content item for immediate distribution
CampaignAdmin-created themed campaign for the team
💡 Tip: Add your company blog as an RSS content source. Every time a new post publishes, the advocacy system auto-generates posts for the whole team within the hour.

5.8 Campaigns — Team-Wide Pushes

Use campaigns for: product launches, large logo wins, event countdowns, quarterly themes.

  1. Go to Advocacy → Campaigns+ New Campaign
  2. Fill in name, content brief, target employees, autopilot override → Save as Draft
  3. To launch: click Launch — AI immediately generates posts for all targeted employees
  4. To pause: click Pause — posts held, not cancelled. Click Resume to continue.
⚠️ Important: Campaign launch immediately triggers AI generation. Don't launch until the content brief is finalized.

5.9 Tracking Advocacy Performance

Go to Advocacy → Advocacy Posts → Stats to view: total posts queued/approved/posted, total impressions (from manual entry), posts by employee, posts by content source type.

To log metrics on a post: open it → Update Metrics → enter likes, comments, shares, impressions.


6.1 Pipeline Summary Report

Access: Reports → Pipeline Summary

Shows: total open pipeline value, pipeline by stage (funnel chart), deal count by stage, pipeline by owner, change from prior period.

💡 Use this for: Monday pipeline meetings. Pull it up, walk through each stage, identify deals to accelerate or cut.

6.2 Activity Summary Report

Access: Reports → Activity Summary

Shows: activities by type, by rep, by week/month, trending vs. prior period.

💡 Use this for: Accountability. If a BDR's call activity dropped 40% week-over-week, this surfaces it immediately.

6.3 Lead Conversion Report

Access: Reports → Lead Conversion

Shows: leads created vs. qualified vs. converted, conversion rate by source, average time from lead creation to conversion, disqualification rate and reasons.

6.4 Full Funnel Report

Access: Reports → Full Funnel

Shows: volume at each stage (Lead → Qualified → Demo → Proposal → Close), conversion rates between stages, drop-off rates, stage drill-down, persona funnel breakdown, content attribution.

💡 Use this for: Identifying the biggest conversion bottleneck. If 60% of demos never reach Proposal, that's where to focus coaching.

6.5 Content Production Report

Access: Reports → Content Production

Shows: articles generated by brand, articles by status, generation volume over time, author output breakdown.

6.6 Win/Loss Analysis

Access: Reports → Win/Loss

Shows: win rate overall and by pipeline, loss reasons (from activity notes), competitor breakdown, win rate by deal size and by rep.

💡 Tip: Win/loss data quality depends on rep discipline. If AEs don't log loss reasons in activity notes, this report will be thin. Make loss reason logging a required step in the deal close process.

6.7 Rep Performance Report

Access: Reports → Rep Performance

Shows: deals created/closed by rep, win rate by rep, average deal size, activity volume, pipeline coverage per rep.

6.8 Source Attribution Report

Access: Reports → Source Attribution

Shows: deals by lead source (conference, inbound, outbound, advocacy, referral), revenue attributed by source, content attribution, persona funnel.


7.1 Creating a Landing Page

  1. Go to Landing Pages+ New Landing Page
  2. Fill in: Page Name/Campaign, Description, Owner
  3. Click Save — a unique webhook secret is generated
  4. Copy the Webhook URL from the landing page record — this is the endpoint your forms POST to
⚠️ Important: If you click Regenerate Secret, update all form configurations immediately — old tokens are instantly invalid.

7.2 Viewing Lead Submissions

Open the landing page record → click the Lead Submissions tab. To view all submissions across all pages: go to Leads in the main nav and filter by source: Landing Page.

7.3 Webhook Lead Capture Setup

POST form submissions directly to Fitz CRM from any form tool (Typeform, Webflow, etc.):

POST /api/v1/webhooks/lead_capture

Payload format:

{ "first_name": "Sarah", "last_name": "Greenberg", "email": "sgreenberg@bannerhealth.com", "phone": "602-555-1234", "title": "HIM Director", "company_name": "Banner Health", "message": "Interested in learning about ROI services", "source": "himss-2026-landing-page" }

Include your landing page's secret token in the request header or as a query parameter for authentication.


8.1 Google Analytics 4 (GA4)

  1. Go to Settings → Integrations → GA4Connect GA4
  2. Enter: GA4 Measurement ID, Service Account credentials (JSON), Property ID
  3. Click Test Connection → if it passes, click Save

Provides: realtime visitors, traffic metrics (sessions, bounce rate, page views), goal conversions alongside deal pipeline. View via Reports → Integrations → GA4 Metrics.

To disconnect: Settings → Integrations → GA4Disconnect.

8.2 Umami Analytics

  1. Go to Settings → Integrations → UmamiConnect Umami
  2. Enter: Umami instance URL, API key, Website ID
  3. Click Test Connection → if successful, click Save

Provides: privacy-compliant page view and session data alongside CRM data. View via Reports → Integrations → Umami Metrics.


Appendix A: Glossary

TermDefinition
BDRBusiness Development Representative — runs outbound prospecting
AEAccount Executive — runs deals from discovery through close
PipelineThe defined stages a deal moves through from discovery to close
StageOne step in a pipeline (e.g., Demo, Proposal, Closed Won)
Lead StatusThe lifecycle stage of a contact before they become an active deal
AI InsightA Claude-generated recommendation or action item
Voice ProfileThe AI model of how a specific employee writes on LinkedIn
Autopilot ModeThe advocacy setting that controls how posts flow to an employee
Content SourceA feed or trigger that the advocacy system monitors for shareable content
CampaignA coordinated advocacy push across the whole team or a targeted subset
RSS FeedA syndication feed from an external blog or news site used for research
Article PromptA content idea in the planning queue before it becomes a generated article
TouchpointA recorded interaction between a contact and your content
SignalA detected buying intent indicator on a contact or company
TenantThe organization-level data container — all your team's records

Appendix B: Keyboard Shortcuts

ShortcutAction
NNew record (context-sensitive — contact on Contacts page, deal on Deals page)
?Open keyboard shortcut help
EscClose modal or side panel
Ctrl / Cmd + KGlobal search

Appendix C: Troubleshooting

Q: My generated article is missing or taking too long

Q: My advocacy posts aren't generating

Q: Deal Forecast seems off

Q: Signals aren't detecting anything

Q: RSS feed shows Error status

Fitz CRM Instructional Manual v1.0  ·  For internal ChartRequest team use  ·  Maintained by BossBaby / Product Team
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