Check-In & Feedback Intelligence

Conversation Intelligence for Structured Performance Development

Strengthen manager-employee conversations through structured meeting preparation, sentiment trajectory tracking, feedback quality analytics, and measurable action follow-through.

GroSum - Conversation Intelligence
MR
Meera - Manager
How's the API integration going? Any blockers this week?
PS
Priya
Hit 3 of 5 milestones! Need design sign-off by Friday βœ…
Meera recognized Priya for "Outstanding Sprint Delivery" πŸŽ‰
AI: Sentiment trending up ↑ Β· 2 action items tracked
πŸ“Š Conversation Health Index
Engagement depth score: 82%
Recognition frequency: +18% vs last month
0 unresolved action items older than 14 days.

Conversation Starter Engine

Equip managers with structured context before every 1:1 - including goal progress, unresolved action items, recent feedback signals, and engagement shifts - ensuring conversations are developmental, not transactional.

  • Pre-meeting brief: OKR progress, at-risk KRs, recent feedback
  • Pending action items from previous conversations
  • Pulse survey signals and sentiment indicators
  • Suggested talking points tailored to each employee
1:1 Pre-Meeting Brief
Meera ↔ Priya - 1:1 Brief Feb 20, 2026
πŸ“Š OKR Status
3/5 KRs on track · ⚠ User interviews stalled (12/50) · Feature adoption at 31%
πŸ’¬ Recent Feedback
Arjun gave kudos for API docs quality Β· Dev flagged missed standup notifications
⏰ Open Action Items (from last 1:1)
βœ… Share API docs with QA Β· ⬜ Book design review (overdue 3 days)
Suggested Topics
1. Unblock user interview pipeline 2. Career growth - promotion timeline 3. Design resource allocation
🧠 Context Intelligence
Data sources analyzed: 4 OKR updates Β· 6 feedback entries Β· 3 past 1:1 notes Β· Pulse score shift: βˆ’6%
Meeting prep confidence score: 91%

Sentiment Trajectory Tracking

Analyze longitudinal sentiment patterns across check-ins, feedback, and notes to detect engagement shifts early. Surface behavioral signals before performance or retention risk escalates.

  • NLP analysis of check-in text over time
  • Detects emotional trajectory: improving, stable, declining
  • Team sentiment dashboard for managers
  • Early warning: 'Sentiment declining over 3 check-ins'
Team Sentiment Dashboard
Meera's Team - Sentiment Tracker
PS
Priya S.
πŸ˜ŠπŸ˜β†’πŸ˜Šβ†’πŸ˜Šβ†’πŸ˜Š
DP
Dev P.
πŸ™‚πŸ˜Šβ†’πŸ™‚β†’πŸ™‚β†’πŸ™‚
AK
Arjun K.
πŸ˜πŸ˜Šβ†’πŸ™‚β†’πŸ˜β†’πŸ˜Ÿ
Alert: Arjun K.
Sentiment declined over 4 consecutive check-ins. Recent comments mention "overwhelmed" and "unclear priorities." Correlates with new project assignment 3 weeks ago.
πŸ“‰ Attrition Risk Signal
Arjun K. shows 63% similarity to historical disengagement patterns.
Early intervention window: 2–4 weeks.

Smart Feedback Quality Scorer

Improve feedback effectiveness through structured quality scoring across specificity, constructiveness, and actionability - building a measurable culture of growth-oriented feedback.

  • Scores feedback on specificity, actionability, constructiveness
  • Real-time nudges: 'Add a specific example to improve'
  • Tracks feedback-giving patterns per employee
  • Ensures balanced feedback - not just praise or criticism
Feedback Quality Analysis
Feedback Quality Check
"Good work on the project."
Specificity: Low Actionability: Low
πŸ’‘ Guided Improvement: Which project? What specifically was good? Try: "Your API documentation on Project X was thorough and helped the QA team onboard 2 days faster."
"Your API docs for Project X were incredibly thorough. The QA team was able to onboard 2 days faster because of it."
Specificity: High βœ“ Impact: Clear βœ“ Actionable βœ“
πŸ“Š Feedback Culture Score
Team feedback quality average: 74/100
Praise-to-constructive ratio: 4:1 (Healthy range: 3:1–5:1)
Low-quality feedback reduced by 22% over last quarter.

Action Item Tracking Engine

Convert conversation commitments into tracked action items with follow-through visibility, completion analytics, and linkage to goals and development plans.

  • Auto-extracts action items from conversation notes
  • Follow-up reminders for both manager and employee
  • Completion tracking across all conversations
  • Links action items to OKRs and development plans
Action Items - Meera's Team
Team Action Items 12 open Β· 4 overdue
⬜
Book design review session
Priya Β· Overdue 3 days Β· From: Feb 13 1:1
⬜
Set up interview pipeline backup
Arjun · Due tomorrow · 🎯 Linked to: User Interview KR
βœ…
Share API docs with QA team
Priya Β· Completed Feb 18
πŸ“ˆ Execution Reliability Score
Team follow-through rate: 78%
Overdue trend: +2 this week (requires manager review)
3 action items directly linked to at-risk KRs.

Recognition Intelligence

Strengthen recognition culture through achievement detection, pattern analytics, and value-linked acknowledgment - ensuring recognition is equitable and strategically aligned.

  • System suggests recognition: 'Priya shipped early - kudos?'
  • Pattern analysis: who's over/under-recognized?
  • Auto-links recognition to company values
  • Team health: recognition culture scores
Recognition Feed
πŸ†
Meera R. β†’ Priya S.
"Shipped API integration 2 weeks early with zero bugs!"
πŸ’Ž Excellence
🀝
Dev P. β†’ Arjun K.
"Helped debug a critical issue at 11pm. True team player."
🀝 Collaboration
System Recommendation
Sarah L. completed 15 code reviews this sprint - consider recognizing her for "Mentorship." Sales team gives 70% less recognition than Engineering - nudge sent to managers.
πŸ† Recognition Equity Score
2 employees under-recognized relative to contribution metrics.
Recognition concentration index: 0.41 (Moderate imbalance)
Balanced recognition linked to +12% engagement improvement.