Widget Catalog

This comprehensive reference documents all dashboard widgets available in Cothon. Each widget entry includes its purpose, configuration options, data requirements, and practical use cases to help you select the right widgets for your dashboard.

Widgets are organized into six functional categories. Use this catalog to discover widgets you may not have explored and to understand advanced configuration options for widgets you already use.

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Market Overview Widgets

These widgets provide intelligence on the broader procurement landscape, helping you identify trends, understand market dynamics, and spot emerging opportunities.

Market Snapshot

Purpose: Single-pane summary of the current procurement market state

Displays:

• Total active opportunities (count)
• Total market value (sum of all opportunity values)
• Average opportunity value
• Active competitor count (unique vendors bidding)
• Trending category (category with largest week-over-week growth)

Configuration options:

Data source: /api/v1/opportunities + /api/v1/analytics/market-snapshot

Refresh rate: 15 minutes

Use cases:

• Executive briefings: "How big is the market right now?"
• Trend spotting: "Is activity increasing or decreasing?"
• Market sizing: "What's the total addressable market in our categories?"

Example interpretation:

Total Opportunities: 1,247 (+12% vs last period)
Total Value: $8.3B (+23% vs last period)
Avg Value: $6.7M (-9% vs last period)
Active Competitors: 342
Trending Category: IT Services (+45% opportunities)

Insight: Market activity is up significantly with more opportunities and higher total value, but average deal size is slightly down. This suggests an influx of smaller opportunities. IT Services is heating up—consider reviewing your IT capabilities and pipeline.

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Market Trends

Purpose: Visualize procurement activity over time to identify seasonal patterns and growth/decline trends

Displays:

• Time-series line chart: Opportunity count by week/month
• Time-series area chart: Total market value by week/month
• Optional overlays: Previous year comparison, moving average trendline

Configuration options:

Data source: /api/v1/analytics/market-trends

Refresh rate: 1 hour (historical data, infrequent changes)

Use cases:

• Identify seasonal peaks: "When does our target agency do most of its procurement?"
• Forecast pipeline: "Based on historical trends, how many opportunities should we expect next quarter?"
• Evaluate market health: "Is the market growing, stable, or contracting?"

Chart interactions:

• Hover: See exact values for any data point
• Click legend: Toggle series on/off (e.g., hide count to focus on value)
• Zoom: Click and drag to zoom into a specific date range
• Pan: After zooming, drag chart to pan left/right

Example interpretation:

The chart shows a clear cyclical pattern with peaks in September-October (end of government fiscal year) and troughs in December-January (holiday period). Year-over-year comparison shows 15% growth in opportunity count but 30% growth in value—average deal sizes are increasing.

Actionable insight: Prepare for Q4 surge by staffing up proposal teams in August. Consider prioritizing higher-value opportunities given the shift toward larger deals.

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Category Distribution

Purpose: Understand market composition by procurement category (NAICS codes, product/service types)

Displays:

• Pie chart: Percentage breakdown by category
• Bar chart: Absolute counts or values by category
• Table: Sortable list with count, value, and percentage for each category

Configuration options:

Data source: /api/v1/analytics/category-distribution

Refresh rate: 1 hour

Use cases:

• Capability alignment: "Which categories are most active in the market? Do they align with our strengths?"
• Diversification analysis: "Are we too concentrated in one category?"
• Market entry planning: "What's the opportunity volume in categories we're considering entering?"

Example interpretation:

1. IT Services: 28% (349 ops, $2.1B)
2. Professional Services: 22% (274 ops, $1.5B)
3. Construction: 15% (187 ops, $1.8B)
4. Facilities Management: 12% (149 ops, $890M)
5. Medical Equipment: 8% (99 ops, $670M)
...

Insight: IT Services and Professional Services dominate opportunity count, but Construction has higher average value (fewer but larger deals). If you're strong in Construction, focus on fewer, high-value pursuits rather than volume bidding.

Advanced filtering:

Combine with Agency filter to answer questions like: "What categories does Department of Defense prioritize?" or "Which categories have the least competition?"

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Agency Activity

Purpose: Identify most active procurement agencies and their spending patterns

Displays:

• Ranked list of agencies by opportunity count
• Bar chart showing opportunities and total value per agency
• Activity timeline: When each agency posts most opportunities

Configuration options:

Data source: /api/v1/analytics/agency-activity

Refresh rate: 1 hour

Use cases:

• Target selection: "Which agencies should we focus our business development efforts on?"
• Relationship prioritization: "Are we engaging with the most active agencies?"
• Benchmarking: "How active is our target agency compared to peers?"

Example interpretation:

1. Dept of Defense (DOD): 487 ops, $4.2B
2. Dept of Health & Human Services (HHS): 312 ops, $1.8B
3. General Services Administration (GSA): 289 ops, $1.1B
4. Dept of Veterans Affairs (VA): 201 ops, $980M
5. NASA: 156 ops, $720M
...

Activity timeline shows DOD posts heavily in Q1 and Q4, HHS is consistent year-round, and GSA has a summer lull.

Actionable insight: DOD is by far the largest procurement entity. If you have DoD-relevant capabilities but aren't pursuing them, you're missing the biggest market segment. Focus BD efforts there. Time major DOD proposals for Q1/Q4 windows when they're most active.

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Geographic Heatmap

Purpose: Visualize opportunity distribution across geographic regions

Displays:

• Interactive map with color-coded regions (darker = more activity)
• Hover tooltips: Region name, opportunity count, total value
• Click-through to filter dashboard to selected region

Configuration options:

Data source: /api/v1/analytics/geographic-distribution

Refresh rate: 1 hour

Use cases:

• Regional expansion: "Where is procurement activity concentrated? Where should we open offices?"
• Performance contracts: "Do we have geographic restrictions on contracts that limit our pursuit options?"
• Logistics planning: "Can we support opportunities in geographically distributed regions?"

Map interactions:

• Zoom: Scroll wheel or pinch gesture
• Pan: Click and drag
• Click region: Filter entire dashboard to that region
• Hover: See detailed stats for region

Example interpretation:

The heatmap shows heavy concentration in DC/VA/MD (federal government headquarters), California (large state procurement + federal facilities), and Texas (major federal installations). Light activity in Mountain West states.

Actionable insight: If you're based in Mountain West and pursuing federal opportunities, expect significant travel or consider partnerships with firms in high-activity regions to reduce delivery costs.

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Procurement Calendar

Purpose: Timeline view of upcoming deadlines, solicitation releases, and procurement events

Displays:

• Calendar grid: Monthly view with opportunity deadlines marked
• List view: Chronological list of upcoming events
• Filters: Show only watchlist, only high-value, only specific categories

Configuration options:

Data source: /api/v1/opportunities + /api/v1/analytics/calendar-events

Refresh rate: 15 minutes

Use cases:

• Capacity planning: "How many deadlines do we have this week? Can we handle another bid?"
• Strategic timing: "When are slow periods where we can focus on research vs. execution?"
• Team coordination: "What's on everyone's radar for the next two weeks?"

Calendar interactions:

• Click date: See all events on that day
• Click event: Open opportunity detail view
• Drag event: Reschedule internal deadline (doesn't change RFP deadline)
• Add event: Create custom team milestones

Color coding:

• Red: Deadline in next 7 days (urgent)
• Orange: Deadline in 8-14 days (approaching)
• Blue: Deadline 15+ days out (plan ahead)
• Green: Solicitation release date (new opportunity)
• Purple: Award announcement expected

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Bid Performance Widgets

These widgets track your team's effectiveness at winning contracts and managing your pursuit pipeline.

Win Rate Analysis

Purpose: Calculate and visualize win/loss ratios across dimensions (time, category, agency, team member)

Displays:

• Overall win rate percentage
• Trend line: Win rate over time
• Breakdown tables: Win rate by category, agency, or team member
• Win/loss/pending counts

Configuration options:

Data source: /api/v1/analytics/win-rate

Refresh rate: 5 minutes

Use cases:

• Performance tracking: "Is our win rate improving over time?"
• Capability assessment: "Which categories do we win most often?"
• Team optimization: "Which team members have the highest win rates?"
• Qualification: "What's our win rate in [specific category] for this RFP?"

Example interpretation:

Overall Win Rate: 32% (48 wins, 102 losses, 18 pending)
Trend: +5% vs. previous year

Breakdown by category:

• IT Services: 45% (18/40) — Strong
• Professional Services: 28% (12/43) — Below average
• Construction: 35% (8/23) — Average
• Facilities Management: 15% (4/26) — Weak

Actionable insight: You're significantly stronger in IT Services (45% vs. 32% overall). Consider focusing more BD effort in IT Services where you have proven competitive advantage. Investigate why Facilities Management is underperforming—is it pricing, past performance, capability gaps?

Advanced analysis:

Enable Value weighting to see "What percentage of total bid value have we won?" This reveals whether you're winning small deals but losing large ones (or vice versa).

Example: 32% win rate by count, but 22% by value → You're winning smaller opportunities and losing the large, competitive pursuits. Focus on improving competitiveness for high-value bids.

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Bid Statistics

Purpose: High-level summary of your bidding activity and pipeline health

Displays:

• Total bids (all-time or filtered period)
• Bids by status: Pending, Won, Lost
• Conversion metrics: Proposal-to-win rate, qualified-to-proposal rate
• Pipeline value: Total dollar value of pending bids

Configuration options:

Data source: /api/v1/analytics/bid-statistics

Refresh rate: 30 seconds (real-time)

Use cases:

• Daily standup: "What's our current pipeline value?"
• Resource planning: "How many active bids do we have? Can we take on more?"
• Performance dashboards: "What's our proposal-to-win conversion rate this quarter?"

Example interpretation:

Total Bids (90d): 87
  - Pending: 18 ($47M pipeline)
  - Won: 24 (28% win rate)
  - Lost: 45 (52% loss rate)
  - Withdrawn: 0

Conversion Metrics:
  - Qualified to Proposal: 67% (87 proposals from 130 qualified ops)
  - Proposal to Win: 28% (24 wins from 87 proposals)
  - Qualified to Win: 18% (24 wins from 130 qualified ops)

Actionable insight: You're converting 67% of qualified opportunities to proposals (good qualification process) but only 28% of proposals to wins. Focus on improving proposal quality and pricing competitiveness rather than qualification criteria.

Benchmarking:

Industry benchmarks for government contracting:

• Qualified-to-Proposal: 50-70% (you: 67% ✓)
• Proposal-to-Win: 25-40% (you: 28% ✓)
• Qualified-to-Win: 15-25% (you: 18% ✓)

You're within healthy ranges across all metrics.

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Pricing Analysis

Purpose: Compare your submitted pricing to winning bids to improve pricing accuracy

Displays:

• Average variance: Your price vs. winning price (% over/under)
• Scatter plot: Your price (X-axis) vs. winning price (Y-axis) for each bid
• Distribution chart: How often you're over vs. under winning price
• Price optimization score: 0-100 rating of pricing competitiveness

Configuration options:

Data source: /api/v1/analytics/pricing-analysis

Refresh rate: 1 hour

Use cases:

• Pricing improvement: "Are we consistently over or under market?"
• Category-specific pricing: "Is our IT Services pricing competitive vs. Construction?"
• Win/loss post-mortem: "Was pricing the deciding factor in this loss?"

Example interpretation:

Average Variance: +8% over winning price
Price Optimization Score: 62/100

Distribution:

• 15% of bids: >20% over (too high)
• 35% of bids: 5-20% over (slightly high)
• 25% of bids: Within ±5% (optimal)
• 18% of bids: 5-20% under (slightly low)
• 7% of bids: >20% under (too low, leaving money on table)

Scatter plot shows most points above the diagonal line (your price > winning price), indicating consistent overpricing.

Actionable insight: You're pricing 8% higher than market on average. This contributes to your 28% win rate (industry avg: 30-35%). Consider more aggressive pricing, especially in highly competitive categories. Focus on the 15% of bids >20% over—these are unwinnable due to price alone.

Advanced usage:

Toggle Include wins: No to see only lost bids. This isolates pricing issues from other factors (technical, past performance). If your lost-bid average variance is +15% but overall is +8%, it means you win when you price competitively but lose when you overprice.

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Pipeline Overview

Purpose: Funnel visualization of opportunities moving through your bid process stages

Displays:

• Funnel chart: Opportunities at each stage (Qualified → Proposal → Submitted → Won)
• Conversion rates between stages
• Average time in each stage
• Stage-specific metrics (e.g., proposal win rate, qualification accuracy)

Configuration options:

Data source: /api/v1/analytics/pipeline-overview

Refresh rate: 30 seconds (real-time)

Use cases:

• Bottleneck identification: "Where are opportunities stalling in our process?"
• Forecast accuracy: "Based on conversion rates, how many of our 20 proposals will we likely win?"
• Resource allocation: "Which stage needs more team capacity?"

Example interpretation:

Funnel (Count):
- Qualified: 130 opportunities
  ↓ 67% conversion (87 advance)
- Proposal: 87 opportunities
  ↓ 78% conversion (68 advance)
- Submitted: 68 bids
  ↓ 35% conversion (24 advance)
- Won: 24 contracts

Average time in stage:
- Qualified: 12 days
- Proposal: 28 days
- Submitted: 45 days (awaiting award decision)

Actionable insight: Your biggest drop-off is Qualified → Proposal (67% conversion). You're deciding not to pursue 33% of qualified opportunities. Investigate whether your qualification criteria are loose (letting poor-fit opportunities through) or if resource constraints prevent bidding everything you qualify.

The Submitted → Won conversion (35%) is strong (above industry average). Your proposals are competitive once submitted—the challenge is getting more to submission stage.

Forecasting:

Use conversion rates to forecast: "If we qualify 40 opportunities next quarter, we can expect 27 proposals, 21 submissions, and 7-8 wins based on historical conversion rates."

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Submission Timeline

Purpose: Calendar view focused specifically on proposal submission deadlines and team capacity

Displays:

• Timeline: Upcoming deadlines with days remaining
• Capacity indicators: Team member assignments and workload
• Risk flags: Overlapping deadlines, under-resourced proposals

Configuration options:

Data source: /api/v1/proposals + /api/v1/analytics/team-capacity

Refresh rate: 5 minutes

Use cases:

• Sprint planning: "What deadlines do we have this week? Who's working on what?"
• Capacity management: "Can we handle adding one more bid to the pipeline?"
• Risk management: "Are any team members overcommitted? Are critical deadlines at risk?"

Example interpretation:

Next 14 Days:

March 31 (Tomorrow): DOD IT Services RFP ($3.2M)
  - Assigned: Sarah (PM), Mike, Jennifer
  - Status: 85% complete
  - Risk: None

April 3 (+4 days): HHS Professional Services RFP ($1.1M)
  - Assigned: Sarah (PM), Tom, Lisa
  - Status: 60% complete
  - Risk: Sarah overcommitted (2 concurrent PMs)

April 7 (+8 days): GSA Facilities RFP ($890K)
  - Assigned: David (PM), Mike, Jennifer
  - Status: 40% complete
  - Risk: Behind schedule (should be 60% by now)

Actionable insight: Sarah is managing two proposals with overlapping deadlines (March 31 and April 3). Consider reassigning one PM role or bringing in additional support. GSA Facilities is behind schedule—escalate to leadership or add resources.

Capacity indicators:

• Green: Team member has <40 hours/week allocated (healthy)
• Yellow: 40-50 hours/week (at capacity)
• Red: >50 hours/week (overcommitted, risk of burnout or quality issues)

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Effort Analysis

Purpose: Track time and resource investment across bids to improve ROI and estimate future efforts

Displays:

• Total hours invested per proposal
• Average hours by proposal type, size, or category
• Win rate correlated with effort (do more hours = higher win rate?)
• Cost per bid (hours × team hourly rates)

Configuration options:

Data source: /api/v1/analytics/effort-analysis

Refresh rate: 1 hour

Use cases:

• Bid budgeting: "How many hours should we budget for this IT Services proposal?"
• ROI analysis: "Are we investing too much effort in low-value opportunities?"
• Process improvement: "Do larger teams take more or less time to complete proposals?"

Example interpretation:

Average Effort by Category:

IT Services:
  - Avg hours: 120
  - Avg cost: $15,000 (blended rate)
  - Win rate: 45%
  - ROI: Positive (avg contract value $800K)

Professional Services:
  - Avg hours: 85
  - Avg cost: $10,625
  - Win rate: 28%
  - ROI: Marginal (avg contract value $450K)

Construction:
  - Avg hours: 200
  - Avg cost: $25,000
  - Win rate: 35%
  - ROI: Strong (avg contract value $2.1M)

Actionable insight: Construction bids require the most effort (200 hours) but have the best ROI due to high contract values. Professional Services bids are efficient (85 hours) but low ROI due to lower win rate and smaller contract sizes. Consider reducing Professional Services pursuit volume to reinvest effort in Construction.

Effort vs. Win Rate correlation:

Chart shows weak correlation (R² = 0.18) between effort and win rate. Spending more hours does not significantly improve win probability. This suggests effort is not the differentiator—focus on strategic factors (pricing, past performance, teaming) rather than just working longer.

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Competitive Intelligence Widgets

These widgets provide insights into your competitive landscape, helping you understand market positioning and develop winning strategies.

Competitor Analysis

Purpose: Identify and track competitors, their win rates, and market share

Displays:

• Ranked list of competitors by wins, bid frequency, or market share
• Head-to-head matrix: Your win rate against each competitor
• Competitor profiles: Specialties, typical contract sizes, geographic focus
• Trending competitors: New entrants or growing market share

Configuration options:

Data source: /api/v1/analytics/competitor-analysis

Refresh rate: 1 hour

Use cases:

• Competitive positioning: "Who are our top competitors in IT Services?"
• Go/no-go decisions: "Is [competitor] likely to bid? What's our win rate against them?"
• Market intelligence: "Are new competitors entering our core markets?"

Example interpretation:

Top Competitors (by wins, IT Services, last 12 months):

1. TechCorp Solutions
   - Wins: 42
   - Bids: 98 (43% win rate)
   - Market share: 18%
   - Your record vs them: 3-8 (27% win rate)
   - Typical contract size: $500K-$2M
   - Geographic focus: Northeast, Federal agencies

2. InnovateTech Partners
   - Wins: 38
   - Bids: 102 (37% win rate)
   - Market share: 16%
   - Your record vs them: 5-6 (45% win rate)
   - Typical contract size: $1M-$5M
   - Geographic focus: National, DOD focus

3. [Your Company]
   - Wins: 35
   - Bids: 78 (45% win rate)
   - Market share: 15%
   - Position: #3 in IT Services

Actionable insight: TechCorp is your toughest competitor (3-8 record against them). When you compete head-to-head with TechCorp, they win 73% of the time. Either avoid opportunities where they're likely to bid, or invest heavily in differentiators when you do compete. InnovateTech is more competitive (5-6 record)—you win about half the time, so pursue those opportunities aggressively.

Trending: A new competitor "CloudFirst Federal" appeared 3 months ago and has already won 12 contracts. Investigate their capabilities and pricing to understand their competitive advantage.

Competitor profiles:

Click any competitor to see detailed profile:

• Historical performance (win rate over time)
• Category specialization (where they focus)
• Pricing patterns (average bid prices in categories)
• Teaming partners (who they collaborate with)
• Past performance (contract history)

Use profiles for capture planning: "What does this competitor typically propose in this category? What are their strengths/weaknesses?"

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HHI Index (Herfindahl-Hirschman Index)

Purpose: Measure market concentration to assess competitive intensity and identify opportunities

Displays:

• HHI score (0-10,000 scale)
• Market structure classification (Competitive, Moderate, Concentrated)
• Trend: Is market concentration increasing or decreasing?
• Top player market shares (visual representation of concentration)

Configuration options:

Data source: /api/v1/analytics/hhi-index

Refresh rate: 1 hour

HHI interpretation:

Use cases:

• Market entry decisions: "Is this market too concentrated for us to break into?"
• Category selection: "Which categories are most competitive (lower HHI) vs. most concentrated (higher HHI)?"
• Strategic planning: "Is market concentration increasing (harder to win) or decreasing (more opportunities)?"

Example interpretation:

Overall Market HHI: 1,420 (Competitive)
Trend: Decreasing (-180 vs. previous year)

Market is becoming less concentrated. Dominant players losing share to smaller firms.

Top 5 Market Shares:
1. TechCorp Solutions: 18%
2. InnovateTech Partners: 16%
3. [Your Company]: 15%
4. Federal IT Group: 12%
5. CloudFirst Federal: 10%
Remaining competitors: 29% (distributed among 30+ firms)

Category-specific HHI:

• IT Services: 1,680 (Moderate)
• Professional Services: 890 (Highly Competitive)
• Construction: 2,450 (Approaching High Concentration)
• Facilities Management: 3,200 (High Concentration)

Actionable insight: Overall market is competitive and becoming more so (HHI decreasing). Professional Services is highly fragmented (HHI 890)—easy to win small contracts but difficult to gain significant market share. Facilities Management is highly concentrated (HHI 3,200)—dominated by a few large players, difficult to break into unless you have unique capabilities or undercut pricing significantly.

Strategic implications:

• Low HHI markets: Compete on differentiation, value-add, relationships (price alone won't win)
• Moderate HHI markets: Identify niche specializations where you can lead
• High HHI markets: Pursue as subcontractor to dominant players or target small set-asides not attractive to large firms

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Incumbent Analysis

Purpose: Track contract renewals, incumbent retention rates, and opportunities to displace incumbents

Displays:

• Incumbent retention rate (% of contracts renewed with same vendor)
• Upcoming renewals: Contracts expiring soon and their incumbents
• Your incumbent status: Contracts where you're the incumbent
• Displacement rate: How often you've displaced incumbents vs. been displaced

Configuration options:

Data source: /api/v1/analytics/incumbent-analysis

Refresh rate: 1 hour

Use cases:

• Opportunity qualification: "Is this a renewal? What's the incumbent retention rate for this agency?"
• Capture planning: "Should we invest in trying to displace the incumbent or focus on new work?"
• Defense strategy: "We're the incumbent. What's the likelihood we'll be displaced? How do we defend?"

Example interpretation:

Overall Incumbent Retention Rate: 68%
(When contracts renew, incumbent wins 68% of the time)

Your Incumbent Status:
- Defending: 8 contracts (total value $12M) expiring in next 90 days
- Historical defense rate: 75% (you retain 3 out of 4 when defending)

Your Displacement Record:
- Successfully displaced incumbent: 12 times (28% success rate)
- Been displaced as incumbent: 2 times (you defend 75% of the time)

Upcoming High-Value Renewals (Opportunities to Displace):

1. DOD IT Services ($4.2M, 5-year contract)
   - Incumbent: TechCorp Solutions
   - Incumbent on contract for: 10 years (2 renewals already)
   - Agency incumbent retention rate: 72%
   - Your assessment: High risk to pursue (established incumbent, long relationship)

2. HHS Professional Services ($1.8M, 3-year contract)
   - Incumbent: InnovateTech Partners
   - Incumbent on contract for: 3 years (first renewal)
   - Agency incumbent retention rate: 55%
   - Your assessment: Moderate risk (first renewal, agency willing to switch)

Actionable insight: The DOD IT Services renewal is high-risk for displacement. TechCorp has held the contract for 10 years and DOD retains incumbents 72% of the time. Unless you have a significant competitive advantage or TechCorp has performance issues, investment may not be worthwhile.

HHS Professional Services is more promising. It's the incumbent's first renewal, and HHS has a 55% retention rate (nearly a coin flip). If you can demonstrate value over InnovateTech, this is worth pursuing.

Defense strategies (when you're the incumbent):

1. Performance reviews: Ensure contract is performing well; request customer feedback 6 months before renewal
2. Relationship management: Stay engaged with customer; don't assume renewal is automatic
3. Innovation: Propose improvements or cost savings in renewal proposal (show continuous improvement)
4. Competitor intelligence: Understand who might bid against you; prepare defense narrative

Displacement strategies (when targeting incumbent):

1. Relationship building: Engage customer early; understand pain points with incumbent
2. Differentiation: Don't just match incumbent—offer clear improvements
3. Pricing: Consider aggressive pricing for first contract to break in, plan to increase on renewals
4. Risk mitigation: Address "switching cost" concerns; offer transition plan to minimize disruption

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Differentiator Finder

Purpose: AI-powered analysis to identify your unique competitive advantages for specific opportunities

Displays:

• Capability gaps: Requirements in RFP that most competitors struggle to meet
• Your strengths: Areas where your capability profile exceeds typical competitor profiles
• Recommendations: Specific differentiators to emphasize in proposals
• Evidence: Past performance, certifications, or qualifications supporting your differentiators

Configuration options:

Data source: /api/v1/analytics/differentiator-finder (uses RAG + capability profiles)

Refresh rate: On-demand (expensive AI operation)

Use cases:

• Proposal development: "What should we emphasize in the executive summary and technical approach?"
• Go/no-go decisions: "Do we have any differentiators, or are we undifferentiated commodity?"
• Capture planning: "What capability gaps should we fill (hiring, teaming, certifications) before pursuing this opportunity?"

Example interpretation:

Analyzing: DOD Cybersecurity Services RFP ($3.5M)

Your Differentiators (AI Confidence 70%+):

1. FedRAMP High Authorization (95% confidence)

   • Requirement: RFP requires FedRAMP Moderate or High for cloud services
   • Your status: FedRAMP High authorized (exceeds requirement)
   • Competitor status: 2 of 10 competitors have FedRAMP High, 5 have Moderate, 3 have none
   • Impact: Strong differentiator; emphasize in executive summary and security approach
   • Evidence: FedRAMP authorization letter, compliant cloud infrastructure

2. DOD Cybersecurity Maturity Model Certification (CMMC) Level 3 (88% confidence)

   • Requirement: RFP requires CMMC Level 2 (proposed requirement for Level 3 in future)
   • Your status: CMMC Level 3 certified (exceeds requirement, future-proof)
   • Competitor status: 1 of 10 competitors has Level 3, 7 have Level 2, 2 have Level 1
   • Impact: Moderate differentiator; shows investment in security posture beyond minimum
   • Evidence: CMMC certificate, third-party assessment report

3. Cleared Personnel with Active TS/SCI (82% confidence)

   • Requirement: RFP requires Secret clearance minimum, TS/SCI preferred
   • Your status: 15 cleared personnel with active TS/SCI, 8 with Secret
   • Competitor status: Unknown (not public), but analysis of competitor past performance suggests limited TS/SCI cleared staff
   • Impact: Moderate differentiator; enables faster project start, reduced clearance delays
   • Evidence: FSO letter confirming cleared headcount, resumes in proposal

Gaps (Areas Where You're Behind):

1. Prior DOD Cybersecurity Contract Performance (72% confidence weakness)
   • Requirement: RFP evaluates past performance on similar contracts
   • Your status: 1 prior DOD cybersecurity contract (small, $400K)
   • Competitor status: TechCorp has 8 similar contracts, InnovateTech has 12
   • Impact: Significant weakness; you'll likely score lower on past performance
   • Mitigation: Emphasize quality over quantity, provide detailed TS/SCI work examples, consider teaming with firm that has strong DOD cyber past performance

Actionable insight: You have strong technical differentiators (FedRAMP High, CMMC Level 3, cleared personnel) but weak past performance. This is a technically-driven RFP where capabilities matter—your differentiators can overcome past performance weakness if you:

1. Emphasize technical credentials in executive summary and throughout proposal
2. Provide detailed evidence of secure cloud delivery (even if not DOD)
3. Offer TS/SCI cleared program manager and lead engineers in key personnel section
4. Mitigate past performance gap by providing exceptionally detailed reference narratives for your one DOD cyber contract
5. Consider teaming arrangement where partner provides DOD cyber past performance and you provide advanced technical capabilities

Proposal strategy: Lead with "Security-First, Future-Ready Approach" theme. Position as the only offeror with FedRAMP High + CMMC Level 3 + cleared workforce. This is a differentiated technical solution for a security-sensitive requirement.

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Competitive Overlap

Purpose: Visualize which competitors you face most frequently and in which contexts

Displays:

• Venn diagram: Overlap between your pursuits and competitor pursuits
• Heat map: Frequency of competition by category and agency
• Competitor pairing: Which competitors often team together (vs. competing)

Configuration options:

Data source: /api/v1/analytics/competitive-overlap

Refresh rate: 1 hour

Use cases:

• Teaming decisions: "Should we compete against [competitor] or invite them as a teammate?"
• Competitive positioning: "Where do we compete most often? Are there categories where we avoid each other?"
• Market segmentation: "Can we reduce competitive overlap by focusing on different niches?"

Example interpretation:

Venn Diagram (You vs. TechCorp Solutions vs. InnovateTech Partners):

You: 78 bids
  - Unique (no overlap): 22 bids (28%)
  - Overlap with TechCorp only: 18 bids (23%)
  - Overlap with InnovateTech only: 15 bids (19%)
  - Overlap with both: 23 bids (30%)

TechCorp: 98 bids
  - Unique: 38 bids (39%)
  - Overlap with you: 41 bids (42%)
  - Overlap with InnovateTech: 45 bids (46%)

InnovateTech: 102 bids
  - Unique: 35 bids (34%)
  - Overlap with you: 38 bids (37%)
  - Overlap with TechCorp: 48 bids (47%)

Heat Map (Overlap by Category):

Actionable insight: You compete with TechCorp in 85% of IT Services opportunities—very high overlap. This means you're pursuing the same market segment. Options:

1. Differentiate: Develop unique capabilities to stand out in IT Services competitions
2. Segment: Focus on IT Services subsegments where TechCorp is weaker (e.g., cloud vs. on-prem)
3. Team: Consider teaming with TechCorp on large IT Services opportunities where both are needed

You have low overlap (15%) with TechCorp in Construction. This is a niche you can pursue without constant TechCorp competition.

Teaming analysis:

InnovateTech has teamed with TechCorp 8 times in the last year (vs. competing 45 times). This 15% teaming rate suggests they're open to collaboration. When they team, it's typically for very large opportunities (>$10M) where prime needs strong subcontractor capabilities.

Strategic implication: For large IT Services opportunities, consider proposing to InnovateTech as a subcontractor. You compete with them on smaller bids (<$5M) but could collaborate on larger pursuits where they need additional capability to win as prime.

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Win/Loss by Competitor

Purpose: Head-to-head performance tracking against specific competitors

Displays:

• Win-loss record vs. each competitor (your wins - their wins - split awards)
• Trend over time: Improving or declining performance against specific competitors
• Category breakdown: Where you win vs. lose against each competitor
• Key factors: Common reasons for wins/losses (price, past performance, technical, etc.)

Configuration options:

Data source: /api/v1/analytics/win-loss-by-competitor

Refresh rate: 5 minutes

Use cases:

• Capture planning: "What's our track record against the likely competitors for this RFP?"
• Competitive strategy: "Where are we weak against [competitor]? Where are we strong?"
• Market positioning: "Are we gaining or losing market share to specific competitors?"

Example interpretation:

Your Record vs. TechCorp Solutions (IT Services, Last 12 Months):

Overall: 3 wins - 8 losses - 1 split (28% win rate vs them)

Trend: Stable (27% win rate in H1, 29% in H2)

Breakdown by Value Range:
- <$1M: 2-1 (67% win rate) — You dominate small bids
- $1M-$5M: 1-4 (20% win rate) — TechCorp dominates
- >$5M: 0-3 (0% win rate) — TechCorp completely dominates

Breakdown by Category (within IT Services):
- Cloud Services: 1-2 (33%)
- Cybersecurity: 0-3 (0%)
- Application Development: 2-3 (40%)

Reasons for Losses (based on debrief data):
1. Past Performance (60% of losses): TechCorp had stronger, more relevant past performance
2. Pricing (20% of losses): TechCorp priced lower
3. Technical Approach (20% of losses): TechCorp proposed superior technical solution

Actionable insight: You're competitive with TechCorp on small IT Services bids (<$1M) with a 67% win rate. However, as bids get larger, TechCorp dominates—you've never won a head-to-head competition >$5M.

This suggests TechCorp's competitive advantage is past performance (they have large project references you lack). On small bids, past performance matters less (lower risk, less scrutiny), so you compete effectively on price and technical approach.

Strategic options:

1. Focus on sweet spot: Pursue <$1M IT Services opportunities where you win 67% against TechCorp
2. Build past performance: Win several small-to-medium contracts to build reference portfolio for larger pursuits
3. Team with TechCorp: For >$5M opportunities, propose as their subcontractor rather than competing
4. Avoid head-to-head: If TechCorp is likely to bid on >$5M opportunity, consider no-bid to conserve resources

Category-specific strategy:

• Cybersecurity: 0-3 record against TechCorp. Either avoid or invest heavily in cybersecurity differentiators (certifications, cleared staff, past performance)
• Application Development: 2-3 record (40% win rate). Competitive but not dominant. Pursue selectively based on other factors (pricing, customer relationship, etc.)

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Opportunity Discovery Widgets

(See full widget catalog for detailed descriptions. These widgets are covered in depth in the Opportunities and Tenders documentation.)

Smart Recommendations: AI-matched opportunities based on capability profile Recently Posted: Latest government opportunities with filtering Saved Searches: Quick access to saved search criteria Watchlist: Flagged opportunities for monitoring Expiring Soon: Upcoming deadlines (7/14/30 days) High-Value Alerts: Opportunities above value threshold

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Insights & AI Widgets

These widgets leverage AI and machine learning to surface non-obvious patterns and predictions.

Trend Predictions

Purpose: Machine learning forecasts of upcoming procurement volumes and values

Displays:

• Forecast chart: Predicted opportunity count and value for next 1-6 months
• Confidence intervals: Range of likely outcomes (pessimistic, expected, optimistic)
• Seasonal patterns: How forecast accounts for historical seasonality
• Category-specific forecasts: Predictions broken down by category

Configuration options:

Data source: /api/v1/analytics/trend-predictions (requires 6+ months historical data)

Refresh rate: Daily

Use cases:

• Resource planning: "How many opportunities should we expect next quarter? Do we need to hire?"
• Budget forecasting: "What's the predicted market value for our planning purposes?"
• Strategic planning: "Is the market growing, stable, or declining over the next year?"

Example interpretation:

Forecast (Next 3 Months):

April: 180-220 opportunities (expected: 200), $950M-$1.2B value (expected: $1.1B)
May: 210-250 opportunities (expected: 230), $1.1B-$1.4B value (expected: $1.25B)
June: 240-290 opportunities (expected: 265), $1.3B-$1.7B value (expected: $1.5B)

Trend: Increasing (end of fiscal year surge)
Model: Seasonal (accounts for typical Q2-Q3 increase)
Confidence: 80% (actual will likely fall within ranges shown)

Actionable insight: Expect opportunity volume to increase 30-40% from April to June as government fiscal year (ends Sept 30) approaches. Plan to:

• Hire temporary proposal staff in May to handle volume spike
• Focus BD efforts in March-April on relationships for June solicitations
• Prepare capability statements and past performance write-ups now (May will be too busy)

Category-specific forecast:

• IT Services: +50% growth expected (typical Q2 surge)
• Professional Services: Flat (less seasonal variation)
• Construction: -10% decline (construction RFPs release earlier in fiscal year)

This suggests reallocating capture effort toward IT Services in Q2.

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Risk Alerts

Purpose: AI-flagged risks in active bids requiring attention

Displays:

• Risk list: Active bids with detected risks (pricing, requirements, compliance, deadline)
• Risk severity: Critical, High, Medium, Low
• Risk description: Specific issue and why it's risky
• Recommended actions: Suggested mitigations

Configuration options:

Data source: /api/v1/analytics/risk-alerts (AI analysis of bid data)

Refresh rate: 1 hour

Use cases:

• Proactive risk management: "What risks do we have in our active pipeline?"
• Quality assurance: "Are any proposals at risk of non-compliance or disqualification?"
• Pricing review: "Are we pricing too aggressively or conservatively on any bids?"

Example interpretation:

3 Active Risks (High+ Severity):

1. DOD IT Services RFP - CRITICAL RISK: Pricing
   - Your proposed price: $3.2M
   - AI estimated winning price range: $2.1M-$2.5M (based on similar awards)
   - Your price is 28-52% over likely winning price
   - Impact: Near-zero probability of win if pricing not adjusted
   - Recommendation: Reduce to $2.4M maximum or no-bid to conserve resources

2. HHS Professional Services RFP - HIGH RISK: Requirements
   - Requirement: "Offeror must have active CMMI Level 3 certification"
   - Your status: CMMI Level 2 (expires in 6 months)
   - Impact: Non-compliant, proposal will be rejected
   - Recommendation: No-bid OR obtain CMMI Level 3 before submission (3-6 month process, unlikely to complete in time)

3. GSA Facilities RFP - HIGH RISK: Deadline
   - Submission deadline: April 5, 2026 (6 days remaining)
   - Proposal completion: 40% (should be 70% by now)
   - Impact: High risk of rushed, low-quality submission or missing deadline
   - Recommendation: Add resources immediately OR request deadline extension from Contracting Officer

Actionable insight: You have three high-priority risks requiring immediate action:

1. DOD IT Services: Re-price or no-bid decision needed. Schedule pricing review meeting today.
2. HHS Professional Services: No-bid (cannot meet requirement). Withdraw proposal to reallocate effort to GSA Facilities.
3. GSA Facilities: Add 2 proposal writers from HHS team (now available) to meet deadline.

Risk categories:

• Pricing: Your price is outside winning range based on AI analysis
• Requirements: You don't meet mandatory requirement or interpretation is risky
• Compliance: Proposal format, page limits, or submission requirements at risk
• Deadline: Behind schedule or insufficient time remaining
• Past Performance: Your references may not meet RFP criteria
• Key Personnel: Proposed personnel may not be available or don't meet quals

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Capability Gaps

Purpose: Identify requirements you frequently struggle to meet, suggesting areas for capability development

Displays:

• Gap list: Requirements you often don't meet or meet weakly
• Frequency: How often each gap appears in opportunities you pursue
• Impact: How often capability gap leads to loss (correlation)
• Remediation options: Hiring, training, certifications, teaming, or acquisition to fill gap

Configuration options:

Data source: /api/v1/analytics/capability-gaps (AI analysis of bid analyses and outcomes)

Refresh rate: Daily

Use cases:

• Capability planning: "What should we invest in hiring, training, or certifications?"
• Teaming strategy: "What gaps should we fill via teaming partners vs. organic growth?"
• Market selection: "Are there capability gaps preventing us from pursuing attractive markets?"

Example interpretation:

Top 5 Capability Gaps (Last 12 Months):

1. FedRAMP Authorization (Appears in 18 opportunities, linked to 12 losses)
   - Requirement: FedRAMP Moderate or High authorization for cloud services
   - Your status: Not FedRAMP authorized
   - Impact: Automatic disqualification on 67% of cloud-related RFPs
   - Loss correlation: 85% of losses in cloud category due to this gap
   - Remediation: Obtain FedRAMP Moderate authorization (~$250K, 9-12 months)
   - ROI: High (would make you competitive for $50M+ in annual opportunities)

2. Cleared Personnel (TS/SCI) (Appears in 14 opportunities, linked to 8 losses)
   - Requirement: Cleared workforce with active TS/SCI clearances
   - Your status: 3 TS/SCI cleared staff (RFPs typically require 10-15)
   - Impact: Cannot meet staffing requirements; lose to competitors with cleared workforce
   - Loss correlation: 60% of DOD/IC losses due to insufficient cleared staff
   - Remediation: Hire cleared personnel (~$150K/person premium) OR partner with cleared workforce provider
   - ROI: Moderate (limited pool of cleared candidates, high cost)

3. CMMI Level 3 (Appears in 11 opportunities, linked to 6 losses)
   - Requirement: CMMI Level 3 certification for process maturity
   - Your status: CMMI Level 2
   - Impact: Non-compliant for opportunities requiring Level 3; score lower on those preferring it
   - Loss correlation: 55% of software development losses due to CMMI gap
   - Remediation: Upgrade to CMMI Level 3 (~$100K, 6-9 months)
   - ROI: Moderate (narrows scope but high win rate in CMMI markets)

4. Large Project Experience (>$10M) (Appears in 9 opportunities, linked to 7 losses)
   - Requirement: Past performance on projects >$10M
   - Your status: Largest past performance is $4.2M
   - Impact: Score poorly on past performance for large opportunities
   - Loss correlation: 78% of >$10M opportunity losses due to past performance weakness
   - Remediation: Win mid-sized contracts ($5-8M) to build track record OR team with large-project-experienced prime
   - ROI: Long-term (multi-year effort to build references)

5. Geographic Presence (West Coast) (Appears in 8 opportunities, linked to 5 losses)
   - Requirement: Local presence or recent work in West Coast region
   - Your status: East Coast-based, no West Coast office or recent projects
   - Impact: Score lower on local preference criteria; higher cost to deliver
   - Loss correlation: 63% of West Coast losses due to lack of local presence
   - Remediation: Open satellite office OR partner with West Coast firm OR target East Coast opportunities
   - ROI: Low-Moderate (depends on strategic priority for West Coast expansion)

Actionable insight: FedRAMP authorization is your most impactful capability gap. It appears frequently, has high loss correlation (85% of cloud losses), and affects a large total addressable market ($50M+ annually). Prioritize obtaining FedRAMP Moderate authorization as a strategic investment.

Cleared personnel is also significant but harder to remediate (limited talent pool, expensive). Consider teaming strategy for TS/SCI-required opportunities rather than building organic cleared workforce.

Large project experience is a chicken-and-egg problem (need large projects to win large projects). Focus on winning $5-8M contracts to step up into $10M+ market over 2-3 years.

Remediation roadmap:

• Q2 2026: Begin FedRAMP authorization process (~9-12 months)
• Q3 2026: Upgrade CMMI to Level 3 (~6-9 months)
• Q4 2026: Establish teaming agreements with 2-3 cleared workforce providers
• Q1 2027: FedRAMP authorized, pursue cloud opportunities previously out of reach

ROI analysis:

Total investment: ~$350K (FedRAMP $250K + CMMI $100K) Incremental opportunity value: $50M+ annually (previously inaccessible) Win rate in newly accessible opportunities: Est. 25-30% (your historical rate) Expected annual contract wins: $12-15M Payback period: <3 months

This is a high-ROI investment to close critical capability gaps.

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Quick Actions Widgets

(Brief descriptions—these are utility widgets rather than analytics widgets)

Recent Documents: Last 5 documents viewed/edited (quick access) Pending Reviews: Proposals awaiting your approval Team Activity: Real-time feed of team actions (uploaded, commented, submitted, etc.) Quick Upload: Drag-and-drop zone to analyze new RFPs Command Palette: Keyboard-driven search and navigation (Ctrl/Cmd + K) Notifications: System alerts, deadline reminders, team mentions

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Widget Configuration Deep Dive

Common Configuration Patterns

All widgets share certain configuration options:

Time Range Settings

Most widgets default to 90-day or 1-year views. Consider your use case:

• Daily operations: 30-90 day range (recent, actionable data)
• Quarterly reviews: 1 year range (trends, year-over-year)
• Strategic planning: 2 years or all-time (long-term patterns)

Filter Persistence

Widget filters persist across sessions (saved to your profile). If you filter Market Trends to "IT Services only," that filter remains until you change it—even after logout. This ensures consistency but can cause confusion if you forget active filters.

Reset filters: Click the filter icon and select "Clear All Filters" or "Reset to Defaults."

Refresh Behavior

Widgets have three refresh modes:

1. Automatic: Widget refreshes on schedule (e.g., every 5 minutes for Bid Statistics)
2. Manual: Click refresh icon to update (e.g., Effort Analysis)
3. Real-time: WebSocket updates as data changes (e.g., Team Activity)

Disable automatic refresh to reduce API calls: Widget settings → Refresh → Manual only

Export Options

Every widget supports export:

• CSV: Raw data for analysis in Excel/Google Sheets
• PNG: Chart image for embedding in reports or presentations
• PDF: Formatted widget snapshot with data table
• JSON: Structured data for integration with other tools

Export button (download icon) appears in widget header on hover.

Advanced Widget Customization

Custom Metrics (available on select widgets)

Some widgets allow defining custom metrics:

• Win Rate Analysis: Custom segments (e.g., "High-value IT Services in DOD" segment)
• Pipeline Overview: Custom stages (match your internal process names)
• Competitor Analysis: Custom competitor groups (e.g., "Tier 1 Competitors" vs. "Emerging Competitors")

Conditional Formatting (available on table-based widgets)

Highlight rows based on conditions:

• Opportunity List: Highlight high-value (>$5M) in gold
• Bid Statistics: Highlight at-risk deadlines (<7 days) in red
• Competitor Analysis: Highlight competitors you've never beaten in orange

Settings → Conditional Formatting → Add Rule

Widget Linking

Link related widgets to create drill-down experiences:

• Click category in Category Distribution → Other widgets filter to that category
• Click competitor in Competitor Analysis → Win/Loss by Competitor loads that competitor's details
• Click date in Procurement Calendar → Opportunity List filters to opportunities with that deadline

Enable widget linking: Dashboard settings → Interactions → Enable Widget Linking

Custom Thresholds

Set custom thresholds for alerts and highlighting:

• Win Rate Analysis: Alert if win rate drops below 25%
• Pipeline Overview: Alert if pipeline value drops below $10M
• Risk Alerts: Only show Critical and High (ignore Medium/Low)

Widget settings → Alerts → Configure Thresholds

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Widget Performance Optimization

Dashboard performance depends on widget count and complexity. Follow these tips:

1. Lazy Loading

Enable lazy loading for below-the-fold widgets:

Dashboard settings → Performance → Enable Lazy Loading

Widgets below the scroll line won't load data until scrolled into view. Reduces initial load time from 5 seconds to <2 seconds for dashboards with 15+ widgets.

2. Increase Cache Duration

If you don't need real-time data, increase cache duration:

Widget settings → Caching → Cache for 1 hour (vs. default 5 minutes)

Reduces API calls by 92% (12 calls/hour vs. 1 call/hour). Suitable for strategic widgets (Competitor Analysis, Win Rate) but not tactical widgets (Bid Statistics, Pipeline).

3. Simplify Charts

Complex charts (multi-series line charts, large scatter plots) slow rendering:

• Market Trends: Show "Count only" instead of "Count + Value" (50% faster)
• Pricing Analysis: Enable "Outlier filter" to reduce data points by 80%

4. Disable Animations

Chart animations add visual polish but slow rendering on large datasets:

Dashboard settings → Appearance → Disable Animations

Improves perceived performance on dashboards with 10+ chart widgets.

5. Reduce Widget Count

Target 8-12 widgets for optimal balance of comprehensiveness and performance. If you need more than 12, create multiple dashboard views for different purposes:

• "Executive View": 6 high-level KPI widgets (fast)
• "Analyst View": 15 detailed analytics widgets (slower but comprehensive)

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Accessibility Features

All dashboard widgets support accessibility features for users with disabilities:

Keyboard Navigation

• Tab: Move between widgets
• Enter: Expand focused widget to full-screen
• Arrow keys: Navigate within widget (chart data points, table rows)
• Esc: Collapse full-screen widget

Screen Reader Support

All widgets include:

• ARIA labels for widget titles and controls
• Data table alternatives for charts (screen reader reads data table instead of trying to describe chart visually)
• Descriptive text for trends (e.g., "Win rate increased 5% vs. previous period")

High Contrast Mode

Enable high contrast mode for improved visibility:

Dashboard settings → Appearance → High Contrast

• Chart colors: Higher saturation, stronger contrast
• Text: Larger font sizes, bolder weights
• Borders: Thicker, more visible separation between widgets

Color Blind Friendly Palettes

Dashboard supports color blind friendly palettes:

Dashboard settings → Appearance → Color Palette → Color Blind Safe

Uses colorblind-safe palette (blue/orange instead of red/green) for all charts and status indicators.

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Next Steps

Explore category-specific widget guides:

• Market Overview Widgets - Market intelligence and trends
• Bid Performance Widgets - Pipeline and win rate optimization
• Competitive Intelligence Widgets - Competitor analysis and positioning

Or learn how to customize your dashboard:

• Customizing Your Layout - Widget arrangement, saved views, and personalization