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Make every conversation count. Capture feedback in context, supported by real work signals, and turn it into Performance Intelligence.
Feedback does not fail because people do not care.
It fails because it depends on memory, effort, and timing.
Managers reconstruct months of work from recall
Feedback is delayed, avoided, or inconsistent
Context is lost between conversations
As a result, feedback becomes incomplete and unreliable.
Traditional systems ask managers to write feedback.
PossibleWorks structures feedback using real work context.
Work signals continuously build a live performance baseline, giving managers clear context without relying on periodic summaries.
Feedback is anchored in actual work and outcomes, making it timely, relevant, and directly tied to execution.
Structured inputs and real-time context make performance conversations consistent, objective, and easy to complete.
Structured one-on-one conversations with system-generated context for relevant, timely feedback.
Balanced input across stakeholders, grounded in actual work signals.
Ongoing conversations without dependency on memory or timing.
Convert signals, inputs, and evaluations into structured insights.
A proprietary SLM captures contextual signals from goals, initiatives, emails, chats, and tools to generate a system-derived performance baseline.
Managers evaluate performance using a structured tri-reference model with three inputs side-by-side – System-generated baseline, Employee self-assessment and manager rating.
AltR organizes feedback using contextual signals and historical inputs - reducing the blank-page effort and improving the quality.
When ratings fall below defined thresholds (e.g., <3), Individual Development Plans are triggered with AI-recommended learning pathways.
MOST SYSTEMS
Blank page feedbackReconstructing months of workInconsistent or biased inputsPOSSIBLEWORKS
No blank-page feedbackNo reconstructing months of workNo inconsistent or biased inputsPossibleWorks supports configurable rating models. This ensures alignment with internal evaluation standards.
2x
Increase in manager check-in consistency
25-35%
Measurable improvement in performance outcomes
Feedback should not feel like an additional task.
Managers refine structured inputsinstead of writing from scratch
Employees receive timely, relevant feedback
Conversations stay continuous and meaningful
AltR orchestrates feedback across the performance lifecycle by:
Structuring inputs from multiple data sources
Connecting feedback to goals and execution
Identifying patterns across time
Continuous feedback in PossibleWorks enables managers and employees to have timely, context rich conversations throughout the work cycle supported by structured data from real work signals including activity, check ins, and outcomes from day to day work rather than memory or periodic reviews.
Move beyond episodic feedback and build a system where insights grow continuously with work.