Performance & Feedback
Turn everyday work context into clearer feedback, stronger reviews, and better calibration evidence.
AI draft
“Here are the strongest examples to include in this review.”
Feedback qualityReview evidenceCalibration prep
AI & Agents
AI agents powered by real people context.
ClarityLoop AI helps you draft, analyse, prepare, role-play, plan, follow up, and report using governed people context. Use it inside ClarityLoop, or connect approved tools like ChatGPT and Claude through MCP.
ClarityLoop Agent
“Help me prepare for Maya's growth conversation. What should I focus on?”
Agent response
I found recent feedback, goal progress, and 1:1 notes. Here are the useful angles for the conversation.
Suggested prep
Recognise stronger project ownership
Role-play the opening before the 1:1
Next
Draft talking points or practise the conversation before the 1:1.
AI in practice
What ClarityLoop AI helps you do.
Draft review evidence, practise hard conversations, prepare smart agendas, spot engagement themes, create growth plans, and answer people questions from governed context.
Manager Coaching
Help managers prepare for 1:1s, coaching moments, follow-ups, and difficult conversations.
Role play
“How do I give this feedback clearly?”
Practise the opening, then I'll suggest a calmer version.
Role playTalking pointsFollow-up
Engagement & Surveys
Analyse themes, sentiment, and open-text responses, then turn employee voice into visible action.
Live insight
+12%Survey themesSentimentAction plans
Goals & 1:1s
Connect OKRs, progress, blockers, and actions to better check-ins and more focused follow-through.
Smart agenda
Blocked goal
Recent feedback
Follow-up
OKR suggestionsProgress contextFollow-ups
Career Growth
Connect role expectations, strengths, growth areas, and development plans so growth feels practical.
Strengths
Ownership, collaboration
Growth area
Stakeholder updates
Growth signalsRole expectationsDevelopment plans
Core HRIS (ClarityLoop HR+)
Keep hiring, onboarding, offboarding, people records, teams, leave, and policies close to growth and performance.
People basics
HiringRecordsLeavePolicies
HiringPeople recordsPolicies
Use it from your AI assistant
ChatGPT or Claude can ask ClarityLoop.
Approved AI tools can use ClarityLoop context to answer questions, prepare conversations, draft updates, create dashboards, and plan follow-through without bypassing access controls.
What this means
Instead of copying people data into a chatbot, your approved AI tool asks ClarityLoop for the right governed context, then helps you draft, analyse, prepare, coach, report, and plan from there.
Claude
“Show the leadership focus areas for this quarter and draft the follow-up plan.”
ClarityLoop MCP
Pulling approved survey themes, goals, feedback, 1:1s, and manager notes.
Leadership view
Focus areas and actions
Sentiment
+8%
Manager confidence
Career clarity
Follow-up speed
Drafted: 3 leadership actions, 2 manager nudges, and a survey follow-up note.
Connect your AI assistant
Let approved tools like Claude or ChatGPT ask ClarityLoop for the context they are allowed to use.
Run longer people-work tasks
Ask questions, draft summaries, prepare conversations, analyse patterns, create plans, and build reports.
Keep access governed
MCP is a secure bridge, not an open pipe. Role visibility and source controls still apply.
Why context matters
AI is only useful when it understands the work.
Reviews, 1:1s, surveys, and growth conversations all depend on context. Without it, AI starts from a blank prompt and people still do the hard synthesis themselves.
Context gap 1
Reviews become a scramble
Managers search notes, Slack threads, pull requests, tickets, and memory to explain months of performance in a few days.
Context gap 2
1:1s miss the real issues
Goals, blockers, feedback, and follow-ups sit across different tools, so conversations can stay too reactive or surface-level.
Context gap 3
Employee voice loses momentum
Surveys collect useful feedback, but themes, owners, and follow-through often fade once the dashboard has been reviewed.
Context gap 4
Growth feels too vague
People are told to improve, stretch, or step up without enough examples, role expectations, or practical next steps.
How it works
The context engine gives AI the right starting point.
Behind those outputs is a context engine that connects work signals with the people workflows where decisions, conversations, and development happen.
Context Engine
Turns scattered work signals into feedback, insight, and follow-through.
1Signals
2Context
3Patterns
4Action
Built for feedback, reviews, goals, 1:1s, surveys, coaching, and career growth.
Step 1
Connect signals
ClarityLoop brings together useful context from native integrations, browser capture, goals, meetings, feedback, surveys, and people data.
What this enables
A richer starting point for feedback, reviews, 1:1s, surveys, goals, and development.
Step 2
Understand context
The engine maps who was involved, what happened, which role or goal it relates to, and why it matters now.
What this enables
A clearer picture of the person, team, work, timing, expectations, and workflow.
Step 3
Surface patterns
ClarityLoop helps identify repeated strengths, growth areas, blockers, sentiment, coaching themes, and review evidence.
What this enables
Signals that managers, HR, employees, and leaders can actually use in people conversations.
Step 4
Turn insight into action
The platform turns useful context into feedback, review prep, 1:1 talking points, survey actions, goals, development plans, and follow-ups.
What this enables
Less manual synthesis, better preparation, and clearer follow-through.
Why it works
Context, people science, and control together.
The value is not simply that ClarityLoop uses AI. The value is that the AI sits inside a people platform built around real work, research-backed workflows, and human control.
Real work context
Understands the workflow and the evidence around the moment, instead of starting from a blank prompt.
Science-backed
People science
Shaped by principles for better feedback, growth, engagement, performance, and behaviour change.
Human control
People choose what is accepted, edited, shared, or acted on. AI helps with the work around the decision.
Responsible AI
Useful support without autopilot.
People decisions need context, care, fairness, and accountability. ClarityLoop helps teams prepare and follow through while people stay in control.
Human review stays central
People stay in control of what is accepted, edited, shared, or acted on.
Evidence matters
AI support is strongest when it is grounded in real examples and relevant workflow data.
Sensitive by design
People insight should be useful, respectful, and proportionate.
Action over automation
The goal is better preparation and follow-through, not replacing managers or HR.
FAQ
Questions teams ask about AI agents and people context.
These are usually the questions that matter before a team lets AI sit inside people workflows.
What is ClarityLoop AI & Agents?
ClarityLoop AI is the agent layer inside the platform. It can draft, summarise, analyse, prepare, role-play, plan, follow up, and build reports using the governed people context ClarityLoop already understands.
Which systems can ClarityLoop use as context?
ClarityLoop can use context from systems like Slack, GitHub, Jira, Confluence, calendars, HRIS data, goals, meetings, surveys, and workflow history so managers and teams are not relying only on memory.
How does the context engine help with performance reviews and 1:1s?
It helps gather useful evidence, spot patterns, prepare talking points, connect goals and follow-ups, and make conversations more specific, fair, and practical.
What does the MCP server do?
The MCP server lets approved AI tools like Claude or ChatGPT access ClarityLoop through a governed bridge. That means teams can ask questions, prepare conversations, draft updates, analyse patterns, create dashboards, or build reports using ClarityLoop context without removing access controls.
Does ClarityLoop AI make decisions about employees?
No. ClarityLoop AI helps people prepare, reflect, draft, summarise, and follow through. People stay in control of what gets accepted, edited, shared, or acted on.
ClarityLoop AI & Agents
See AI agents powered by people context.
See how ClarityLoop AI drafts, analyses, prepares, role-plays, plans, follows up, builds reports, and turns real work signals into better people action.