Sales Performance
Deal Velocity Diagnostics
Diagnoses deal velocity by decomposing cycle time across pipeline stages, regions, and deal-size bands. The dashboard presents median and percentile stage durations, transition drop-off rates, and throughput bottleneck indicators in a single workflow. A stage-flow panel highlights where deals stall and whether slowdowns are localized to a specific region, segment, or owner cohort. Users can compare current quarter velocity with prior quarter and target cycle goals to quantify execution drift. Interactions include region, segment, stage, and search filters; KPI cards for active deals, filtered pipeline value, average close time, and deal velocity; a closed-won average-days-by-rep chart; a selectable deal table; and a detail panel with deal, rep, stage, region, segment, and cycle information. The app starts with deterministic seed data and hydrates from the Boardflare workbook table named SalesPerformance through bf.ready and bf.getRows. If the workbook returns no rows, the seeded rows remain visible so preview mode still works. Expected outputs include a bottleneck-ranked stage list, cycle-time variance drivers, and a focused process-improvement action plan.
Pipeline Action Queue
Presents a prioritized queue of in-flight opportunities requiring action, ranked by close-date risk, slippage probability, and forecast impact. The top section summarizes queue load and expected impact if no intervention occurs, while the main grid lists each deal with next-best action guidance. A side panel groups queued deals by intervention type, such as executive sponsor request, legal unblock, pricing exception, or technical validation. Users can filter by manager, stage, and risk class, then bulk-assign owners and due dates directly from the queue view. The workflow is optimized for daily standups where speed and consistency of action assignment matter more than exploratory analytics. Expected outputs include an owner-routed action register, due-date SLA tracking, and a deterministic follow-up calendar.
Quota Variance Diagnostics
Breaks down quota variance by region, segment, and rep cohort to show where attainment misses are structural versus execution-related. The layout pairs a quota bridge chart with cohort variance tables, allowing users to quantify contribution from coverage, conversion, and cycle-time effects. The UI includes a decomposition panel that traces variance against annual plan, latest commit, and prior-year comparable periods. Users can apply materiality thresholds and isolate unfavorable contributors to focus management time on the highest-impact variances. Decision support centers on whether to adjust quotas, reassign territories, or increase enablement capacity in specific cohorts. Expected outputs include a signed variance decomposition, a top-driver table, and an owner-assigned remediation checklist.
Rep & Segment Drilldown
Enables manager-led drilldown from regional outcomes into rep and segment-level performance with conversion and cycle diagnostics. The top of the dashboard summarizes selected scope, while the central section displays rep-by-segment scatter, rank table, and variance columns. A supporting panel highlights concentration risk, showing whether outcomes depend on too few reps, accounts, or deal bands. Users can filter by region, tenure band, and segment to isolate where coaching or territory rebalance should happen first. Interactions are designed for weekly pipeline calls where managers need deterministic context before assigning interventions. Expected outputs include a rep coaching queue, segment-specific guidance notes, and a reproducible underperformance list.
Sales Performance Overview
Provides a single-screen diagnostic overview of sales performance with headline tiles for bookings, quota attainment, win rate, average sales cycle, and pipeline coverage. The upper panel compares current-period actuals to plan and prior period, while the middle panel shows segmented trend lines by team and customer segment. A lower diagnostics matrix flags red/amber/green status for each core metric and includes owner attribution for immediate accountability. The interface supports rapid triage through period switching, region and segment filters, and threshold-profile selection without mutating source data. Users can pivot from aggregate outcomes to team-level and rep-level context in one click to support meeting facilitation. Expected outputs include a prioritized performance watchlist, an export-ready operating review table, and a deterministic set of follow-up actions.
Territory Gap Explorer
Explores territory-level performance gaps by comparing quota, pipeline, conversion, account coverage, and whitespace against market potential. The dashboard combines a sortable territory ranking table, filter controls for region, segment, and free-text search, and a gap chart that highlights where undercoverage or weak conversion suppresses results. A selected-territory detail panel breaks down the current profile, the proposed rebalance scenario, and the booked-progress delta so managers can review interventions with context. Users can toggle between current-state and proposed territory design assumptions to evaluate quota redistribution, headcount placement, and named-account assignment updates. Expected outputs include a territory intervention shortlist, quantified gap drivers, and a deterministic rebalance recommendation table.
Win/Loss Driver Analysis
Analyzes won and lost opportunities to isolate outcome drivers across pricing, product fit, competition, response speed, and stakeholder alignment. The dashboard combines outcome filters, region/deal-band/competitor selectors, KPI cards, a signed driver-mix chart, and a weighted driver matrix so users can see which signals are helping or hurting performance. A clickable opportunity table opens a detail panel with the selected deal, its primary driver, and a recommended next move for coaching or enablement. The app hydrates from the SalesPerformance workbook table through bf.ready and bf.getRows while keeping deterministic seed data visible in preview mode when the workbook returns no rows. Users can narrow the analysis by region, segment, and competitor cluster to support quarterly go-to-market tuning and win/loss review sessions. Expected outputs include a driver-priority list, a conversion uplift hypothesis set, and a deterministic enablement backlog.