Changelog

• Per-rep closed-won breakdown — quarterly revenue now attributed to individual reps, not just team totals
• Segment auto-classification — every deal automatically tagged as SMB, Mid-Market, or Enterprise based on value
• Batch company enrichment — industry, size, revenue, and location data pulled for every deal on every pipeline refresh
• Full HubSpot pagination — no more silent data caps. Every rep, every engagement, every association captured

The largest single upgrade to Reddy’s analytical brain. Every agent’s knowledge base was expanded with practitioner-grade depth.

• 6 new agent skills — engagement scoring, battle cards, coaching scorecards, methodology compliance, duplicate detection, data freshness
• 19 metric files upgraded — every metric knowledge file rewritten to practitioner-grade depth, averaging 1,900 words each (up from ~650)
• 3 new playbooks — competitive response, data quality audit, daily briefing v2
• 3 new output templates — battle card, coaching scorecard, data quality report
• 4 shared references — industry benchmarks, scoring rubrics, RevOps formulas, sales methodologies
• Dana expanded 36x — Data Quality Guardian grew from 184 words to 6,600+, now the deepest data quality expertise in any RevOps tool

• Team roster management — configure your sales team with roles, territories, reporting lines, and per-rep quotas
• Pipeline filtering — automatically exclude non-sales owners from all analysis. No more noise from service or ops deals.
• Proactive alerts — YELLOW heartbeat warning when excluded owners hold significant open pipeline value

Reddy evolved from a single bot into a team of five named RevOps specialists, each with their own expertise, personality, and domain.

• 5 named agents — Parker (pipeline), Frankie (forecast), Maya (competitive), Riley (coaching), Dana (data quality)
• Direct addressing — talk to any agent by name: “Hey Parker, how’s the pipeline?”
• Multi-agent collaboration — agents work together in solo, duo, and team modes
• Riley privacy — coaching insights always delivered via DM, never in public channels
• Agent orchestrator — 6 intelligent routing workflows match your question to the right specialist
• Multi-tenant persistence — Supabase with row-level security across 12 tables
• Custom scheduling — create up to 25 cron schedules via @mention or slash command
• DM delivery — personalised reports sent directly to deal owners via Slack
• ICP analysis — customer base profiling with pipeline fit scoring (0-100)
• Data quality audit — 8-field completeness scoring with hygiene tracking

The analytical foundation — every metric, model, and intelligence capability that powers Reddy’s insights.

• Deal intelligence — risk scoring (0-100 across 8 factors), stall detection with 5-type taxonomy, velocity tracking, 4-tier prioritisation, action recommendations, bottleneck analysis with friction scoring
• Forecasting — 4-method weighted forecast with confidence intervals, commit reliability tracking, best/likely/worst scenario modelling, forecast accuracy measurement
• Rep intelligence — 6-dimension performance profiling, capacity assessment (underutilised to overloaded), personalised coaching briefs
• Competitive intel — competitor scorecards with threat scores, battle cards (auto-generated after 10+ encounters), win/loss pattern clustering
• Market analysis — segment performance health scoring, source volume-quality matrix, territory balance with rebalancing recommendations, attainment tracking with 3 projection methods
• Proactive alerting — RED/YELLOW/GREEN heartbeat system with daily frequency limits
• Win/loss capture — Slack Block Kit interactive buttons with 2-hour delay and nudge queue
• QBR generation — 12-slide PowerPoint decks built automatically
• Executive briefings — weekly structured reports and pipeline review prep documents