Capture
Learn how work happens
Interview the people who know the work, and review the documents and other evidence you permit. Find the process logic, exceptions, and reasons that records leave out.
HR transformation and AI readiness
Build HR’s next chapter on how your organizationactually works.
Ikona Analytics helps enterprise HR teams turn organizational knowledge into clear priorities, practical designs, and requirements for change. Senior practitioners and AI-enabled research capture what your people know and make it useful for transformation, analytics, and AI.
Built around your organizationEngagement 2
Expand
Your knowledge base
Expand. Each engagement adds to it. Later work starts from what still holds.
What the work produces
- Priorities
- Business cases
- Roadmaps
- Process designs
- Requirements
Trusted by enterprise HR teams at
Where to start
What is on your desk?
Each situation shows what the work produces and where it usually begins.
Pick the one closest to yours
How the work runs
From what your people know to what your team can use.
Senior practitioners lead the work. AI-enabled research helps capture and organize what people tell us, with each finding traced to its source.
We call this Enterprise Knowledge Operations: making what your organization knows usable, and keeping it useful as things change.
Structure
Make it usable
Organize the findings into traceable organizational context: definitions, handoffs, decisions, and where each one came from.
Activate
Put it to work
Turn that context into business cases, roadmaps, process designs, and requirements your leaders and delivery team can use.
ExpandThe benefit that continues
The knowledge stays useful after the engagement. Later work reuses what still holds, checks what has changed, and fills the gaps for the next question.
The work, over time
One diagnostic. A foundation for what came next.
A global healthcare HR team started with a current-state assessment. The knowledge captured in that work became the basis for subsequent strategy, operating-model, and data-product work.
Each later piece of work started from that evidence.
Current-state diagnostic
Map HR data capabilities and gaps from stakeholder evidence.
Step through the case
01 / 04
- Stakeholder interviews
- Documents & systems
- Decisions & new findings
- Stakeholder evidence
Reusable knowledge
Cited. Connected. Kept useful.
- Comes later
- Comes later
- Comes later
Leadership
Built by Practitioners
Former Heads of People Analytics and HR technology leaders from Amazon, JPMorgan Chase, Google, Meta, Nike, and Expedia.
Ian O’Keefe
CEO
People analytics · Amazon, JPMorgan Chase, Google
Bennet Voorhees
CTO
ML products serving millions. Expedia Group, Amazon, Merck.
Richard Rosenow
CPO
ISD Methodology & Delivery. Meta, Uber, Nike. HR Tech 100.
Let’s talk
What decision, workflow, or change is in front of you?
Tell us the outcome you want, the evidence you already have, who is involved, and your timing. We’ll suggest a useful first step.
