Templates / Examples
5 Project Charter Examples With Real Budgets, Timelines, and Risk Registers
Complete project charter examples across 5 industries: software development ($200K, 6 months), marketing campaign ($50K, 3 months), office relocation ($300K, 4 months), process improvement ($20K, 8 weeks), and research ($15K, 6 weeks). Each example includes the 4 essential sections plus milestones and risk register with probability-impact scoring.
Updated 30 March 2026
Example 1 of 5
Customer Portal Development
$200,000
6 months (26 weeks)
Sponsor: Michael Torres, CTO
Problem Statement
Customer support handles 4,200 tickets per month, of which 62% (2,604) are self-service requests: password resets, invoice downloads, subscription changes, and usage reports. Each ticket costs $12.50 in agent time, totalling $32,550 per month in avoidable support costs. A self-service portal would eliminate approximately 80% of these tickets, saving $312K annually while reducing average resolution time from 4.2 hours to under 5 minutes.
Success Criteria
- 1.Reduce monthly support ticket volume from 4,200 to under 2,000 within 60 days of launch
- 2.Achieve 70% customer adoption rate (measured by unique logins) within 90 days
- 3.Portal uptime of 99.9% during business hours (6am to 10pm ET, Monday to Saturday)
- 4.Customer satisfaction score (CSAT) for self-service interactions above 4.2 out of 5.0
Scope Boundaries
In Scope
- +Customer authentication (SSO integration with Okta)
- +Invoice viewing and PDF download (last 24 months)
- +Subscription management (upgrade, downgrade, cancel)
- +Usage dashboard with 30/60/90-day reporting
- +Password reset and account settings
- +Mobile-responsive web portal (not native app)
Out of Scope
- -Native iOS or Android app (Phase 2, FY2027 roadmap)
- -Live chat integration (separate project, Q3 budget)
- -API access for customers (requires security review)
- -Historical data migration beyond 24 months
Budget and Timeline
Budget
$200,000 ($160K development, $20K infrastructure, $20K contingency)
Duration
6 months (26 weeks)
Risk Register
| Risk | Prob | Impact | Severity |
|---|---|---|---|
| Okta SSO integration blocked by security review | Med | High | High |
| Legacy billing system API lacks real-time data | High | Med | High |
| Customer adoption below 50% due to poor UX | Low | High | Moderate |
Key Milestones
- ●Week 3: Discovery and API audit complete
- ●Week 8: UX design and prototype approved
- ●Week 16: Core portal development complete (auth + invoices + subscriptions)
- ●Week 22: Beta launch to 200 pilot customers
- ●Week 26: Full launch with monitoring dashboard
Example 2 of 5
Q3 Product Launch Marketing Campaign
$50,000
3 months (12 weeks)
Sponsor: Laura Kim, VP Marketing
Problem Statement
The company is launching ProductX in Q3, targeting the mid-market segment (companies with 50 to 500 employees). Current pipeline has 340 qualified leads in this segment, but the Q3 target requires 800 marketing qualified leads (MQLs) to hit the $1.2M new ARR goal (based on our 15% MQL-to-close rate and $10K average contract value). The gap of 460 MQLs needs to be closed through a coordinated launch campaign spanning digital ads, content marketing, webinars, and one industry event.
Success Criteria
- 1.Generate 460+ net-new MQLs in the mid-market segment within 12 weeks of campaign launch
- 2.Achieve cost per MQL below $108 (matching current channel average, not exceeding budget)
- 3.Drive 15,000+ unique visitors to the ProductX landing page (measured via GA4)
- 4.Webinar attendance of 200+ registrants with 45%+ attendance rate
- 5.Achieve 3.2% click-through rate on paid social campaigns (above industry average of 2.6%)
Scope Boundaries
In Scope
- +LinkedIn and Google Ads campaign creation, targeting, and management
- +4 blog posts, 2 case studies, 1 whitepaper (content production)
- +2 product webinars with speaker preparation and follow-up sequences
- +ProductX landing page design and A/B testing
- +Booth presence at TechConnect Conference (September 12 to 14)
- +Email nurture sequences (4-email series for each lead source)
Out of Scope
- -Product development or feature changes (engineering team)
- -Sales enablement materials (Sales Ops owns this workstream)
- -PR and media outreach (Communications team, separate budget)
- -Customer marketing or upsell campaigns (Customer Success team)
Budget and Timeline
Budget
$50,000 ($25K paid media, $10K content production, $8K events, $7K contingency)
Duration
3 months (12 weeks)
Risk Register
| Risk | Prob | Impact | Severity |
|---|---|---|---|
| ProductX launch delayed past August 15 start date | Med | High | High |
| Paid media CPM increases 20%+ due to election season spend | High | Med | High |
| Case study customers decline to participate | Med | Low | Low |
Key Milestones
- ●Week 2: Campaign strategy and targeting approved
- ●Week 4: All creative assets and content produced
- ●Week 5: Paid campaigns live, landing page published
- ●Week 8: Webinar 1 complete, mid-campaign review
- ●Week 12: Campaign wrap-up, final reporting, lead handoff to sales
Example 3 of 5
Corporate Office Relocation
$300,000
4 months (16 weeks)
Sponsor: David Nakamura, COO
Problem Statement
The current office at 450 Market Street accommodates 85 employees at maximum capacity, but headcount will reach 110 by Q1 2027 based on approved hiring plans. The lease expires March 31, 2027, and the landlord has proposed a 22% rent increase ($48/sqft to $58.50/sqft) for renewal. A relocation to the pre-negotiated space at 200 Innovation Drive offers 15,000 sqft at $42/sqft (28% below current rate), accommodates 140 employees, and includes a 6-month free rent concession. The net savings over a 5-year lease are approximately $680K.
Success Criteria
- 1.Complete physical move with zero business days lost (weekend move, Friday 5pm to Monday 8am)
- 2.All 85 employees fully operational at new location by 8am Monday following move weekend
- 3.IT systems uptime maintained at 99.5%+ throughout transition (measured by Datadog monitoring)
- 4.Employee satisfaction with new office above 4.0 out of 5.0 (surveyed 30 days post-move)
Scope Boundaries
In Scope
- +Lease negotiation and signing for 200 Innovation Drive
- +Office buildout: 6 meeting rooms, 2 phone booths, open plan for 110 desks, server room
- +IT infrastructure: network cabling, WiFi 6E, server rack relocation, VoIP phone system
- +Furniture procurement for 25 additional desks (existing 85 desks transported)
- +Physical move coordination (movers, packing, unpacking)
- +Employee communication plan and new-office orientation
Out of Scope
- -Lease termination penalties for early exit (Legal team managing separately)
- -Remote work policy changes (HR initiative, independent timeline)
- -Office branding and signage (Marketing team, $15K separate budget)
- -Parking garage lease (Facilities team negotiating directly with building management)
Budget and Timeline
Budget
$300,000 ($180K lease and buildout, $60K IT infrastructure, $35K furniture, $25K contingency)
Duration
4 months (16 weeks)
Risk Register
| Risk | Prob | Impact | Severity |
|---|---|---|---|
| Buildout permits delayed by city planning department | Med | High | High |
| Internet service provider install takes 6+ weeks | High | High | Critical |
| Furniture delivery delayed past move weekend | Low | Med | Low |
Key Milestones
- ●Week 2: Lease signed, buildout plans approved
- ●Week 6: Construction 50% complete, IT infrastructure ordered
- ●Week 10: Construction complete, furniture installed
- ●Week 14: IT systems installed and tested, dry-run walkthrough
- ●Week 16: Move weekend, Monday go-live at new location
Example 4 of 5
Invoice Processing Automation
$20,000
8 weeks
Sponsor: Rachel Okonkwo, Finance Director
Problem Statement
The accounts payable team (3 FTEs) manually processes 1,800 invoices per month. Each invoice takes an average of 8.5 minutes to process (data entry, 3-way matching, approval routing, posting). This totals 255 hours per month, or 85 hours per person. The error rate on manually entered invoices is 4.2% (76 invoices per month require correction, averaging 15 minutes each). Total cost of manual processing: $18,200 per month in labour ($71.40/hour fully loaded) plus $1,425 in error correction. An OCR and workflow automation solution would reduce processing time by 70% and errors by 90%, saving approximately $165K annually.
Success Criteria
- 1.Reduce average invoice processing time from 8.5 minutes to under 2.5 minutes
- 2.Reduce invoice error rate from 4.2% to below 0.5% within 30 days of go-live
- 3.Process 95%+ of invoices without manual data entry (OCR accuracy target)
- 4.Maintain or improve 3-way match accuracy at 99.2%+ (current baseline: 95.8%)
Scope Boundaries
In Scope
- +OCR software procurement and configuration (3 vendor evaluations completed)
- +Integration with existing SAP S/4HANA ERP system via standard API
- +Automated 3-way matching rules engine (PO, receipt, invoice)
- +Approval workflow with mobile notifications and 48-hour escalation
- +AP team training (2 half-day sessions plus 4 weeks of shadowed processing)
Out of Scope
- -ERP upgrade or migration (SAP roadmap owned by IT)
- -Procurement process changes (separate initiative under VP Operations)
- -Vendor portal for direct invoice submission (Phase 2, Q2 2027)
- -Accounts receivable automation (separate project under Revenue team)
Budget and Timeline
Budget
$20,000 ($12K software licensing, $5K integration development, $3K training and contingency)
Duration
8 weeks
Risk Register
| Risk | Prob | Impact | Severity |
|---|---|---|---|
| OCR accuracy below 90% on handwritten or non-standard invoices | Med | Med | Moderate |
| SAP API rate limits prevent real-time processing | Low | High | Moderate |
| AP team resists adoption due to job security concerns | Med | Med | Moderate |
Key Milestones
- ●Week 1: Vendor selected, software licences procured
- ●Week 3: OCR configured and tested on 200 sample invoices
- ●Week 5: SAP integration complete, 3-way matching rules deployed
- ●Week 7: Parallel processing (manual + automated) with accuracy comparison
- ●Week 8: Full go-live, manual processing discontinued for standard invoices
Example 5 of 5
Customer Churn Prediction Research
$15,000
6 weeks
Sponsor: Priya Sharma, VP Customer Success
Problem Statement
Monthly customer churn rate is 3.8%, versus the SaaS industry median of 2.1% for companies in the $5M to $20M ARR range. At 2,400 active customers and $850 average monthly revenue per customer, each percentage point of churn costs $244,800 annually. Reducing churn from 3.8% to 2.5% would save approximately $374K per year. The Customer Success team currently uses manual health scores that predict churn with only 34% accuracy (measured against actual churn events over the past 12 months). A data-driven prediction model could improve accuracy to 70%+ based on benchmarks from similar B2B SaaS companies.
Success Criteria
- 1.Deliver a churn prediction model with 70%+ accuracy (precision and recall both above 65%)
- 2.Identify the top 10 leading indicators of churn from available data sources
- 3.Produce an actionable dashboard showing at-risk accounts with 30-day churn probability
- 4.Complete analysis within 6 weeks with final presentation to CS leadership
Scope Boundaries
In Scope
- +Data extraction from Salesforce CRM, Stripe billing, and Mixpanel product analytics
- +Feature engineering: 50+ candidate variables across usage, billing, and support data
- +Model development: logistic regression, random forest, and gradient boosting comparison
- +Dashboard prototype in Looker with daily refresh from production data
- +Final report with methodology, findings, and recommended CS team actions
Out of Scope
- -Production ML pipeline deployment (requires Engineering team, separate project)
- -CS team process redesign based on findings (follow-up initiative)
- -Data warehouse migration or restructuring (IT infrastructure roadmap)
- -Customer surveys or qualitative research (UX Research team)
Budget and Timeline
Budget
$15,000 ($8K data engineering, $4K analytics tools, $3K contingency)
Duration
6 weeks
Risk Register
| Risk | Prob | Impact | Severity |
|---|---|---|---|
| Data quality issues in Mixpanel prevent feature extraction | Med | Med | Moderate |
| Insufficient data volume for reliable model training (need 12mo+ history) | Low | High | Moderate |
| Stakeholders expect production-ready model, not research prototype | Med | Low | Low |
Key Milestones
- ●Week 1: Data extraction and quality audit complete
- ●Week 2: Feature engineering and exploratory analysis
- ●Week 4: Model training, validation, and comparison
- ●Week 5: Dashboard prototype with sample predictions
- ●Week 6: Final report and leadership presentation
Quick Comparison: All 5 Examples at a Glance
| Project | Budget | Duration | Charter Type | Top Risk Score |
|---|---|---|---|---|
| Customer Portal | $200K | 6 months | Full (12 sections) | High (6) |
| Marketing Campaign | $50K | 3 months | Lean to Mid (6 to 8 sections) | High (6) |
| Office Relocation | $300K | 4 months | Full (12 sections) | Critical (9) |
| Invoice Automation | $20K | 8 weeks | Lean (4 sections) | Moderate (4) |
| Churn Prediction | $15K | 6 weeks | Lean (4 sections) | Moderate (4) |
Notice the correlation between budget and charter complexity. Projects under $50K use the lean 4-section format (1 page). Projects over $100K justify the full 12-section format (3 to 5 pages). The marketing campaign falls in between: $50K is the threshold where either format works, depending on organisational maturity.