Follicle Intelligence
Follicle IntelligenceClinical Audit Intelligence

Product walkthrough

The operating interface for benchmarked quality.

This is where Follicle Intelligence becomes operational: not a static report, but a command layer—executive posture, domain truth, cohort standing, governance queues, and controlled disclosure. What follows mirrors how teams actually use the surface when audit evidence, benchmarks, and standards have to agree.

Under the UI, the same intelligence core connects HairAudit surgical evidence, HLI longitudinal biology where integrated, and IIOHR-aligned methodology. The dashboard is how that compound signal becomes decisions.

Suggested visual

Full-width hero capture: logged-in home or workspace with executive tile, left nav, and tenant branding—annotate callouts for score, cohort, and queue count.

01 · Executive quality view

One number everyone agrees to interpret the same way.

The executive layer answers: are we within tolerance, improving, and aligned with the cohorts we care about—before anyone opens a case file.

Portfolio executive score

92.4

Vs cohort

+4.1 vs trailing 90-day mean

Rolling score trend · last 9 periods

Evidence completeness

High

Cohort membership

HT peer v2

Last adjudication

12 days ago

Suggested visual

Screenshot or zoomed mock: executive tile with trend sparkline and cohort badge; optional overlay arrows for 'score,' 'delta,' 'period.'

What you see

A single composite audit score (and trend) for the scope you select—surgeon, site, or group—with explicit cohort labels and evidence-completeness posture.

What it means

Leadership and clinical leads share one definition of “how good,” tied to structured evidence, not a spreadsheet debate.

What action it enables

Set internal targets, prioritize reviews, and decide what is safe to disclose externally once governance has run.

02 · Domain and score breakdowns

Where excellence and risk actually live.

Aggregates hide failure modes. Domain views expose which technical dimensions drive the headline—donor management, extraction, placement, documentation—so improvement has an address.

Domain breakdown

24 domains
Planning and design94
Extraction integrity81
Placement execution95
Documentation quality87

Lowest domain this period: Extraction integrity — drives review queue priority below.

Suggested visual

Side-by-side or stacked bars with tooltip mock: hovering 'extraction' shows definition and evidence sources counted toward the domain.

What you see

Per-domain scores with configurable weights; weak domains surface automatically relative to your baseline and peer cohort.

What it means

You see whether the problem is design, execution, or record-keeping—different owners, different fixes.

What action it enables

Assign targeted QA, peer review, or training modules; track whether the same domain recurs across cases.

03 · Cohort benchmarking and standing

Relative position you can defend.

Benchmarks turn scores into context: peer groups, historical baselines, and internal targets—so ‘good’ is defined, not assumed.

Cohort standing

Top 18% · HT peer v2

Surgeon-level · last 120 cases

Peer median86.2
Your trailing mean91.4
Group internal target90.0
Best-in-network (ref)94.1
Drift watch

Cohort definitions are versioned. When membership rules change, standing is recomputed with an explicit breakpoint—so month-to-month movement reflects performance, not a silent denominator shift.

Active rule set: HT peer v2 · Effective Jan 1

Suggested visual

Benchmark panel with percentile ribbon or ladder graphic; optional map or site list for multi-location operators.

What you see

Rank or band vs selected cohorts, plus internal targets; drift and rule-version notes where methodology changes.

What it means

Investors see proprietary cohort depth; buyers see whether marketing claims survive an internal benchmark.

What action it enables

Adjust targets, defend differentiation with evidence, or escalate when standing slips for multiple periods.

04 · Governance alerts and review queues

Exceptions before they become incidents.

Quality systems fail when outliers sit in inboxes. The surface prioritizes what needs human judgment—pattern breaks, incomplete evidence, repeated weak domains—and keeps an auditable trail.

Governance queue

P1 · Pattern break

Extraction integrity · 3 cases · same week

Awaiting lead reviewer

P2 · Evidence gap

Case HT-2401 · post-op set incomplete

Request documentation

P3 · Recurring domain

Documentation · below floor 2nd month

Schedule coaching

Suggested visual

Queue table mock with severity chips, assignee column, SLA clock—ideal for annotated product tour.

What you see

Prioritized items: statistical outliers, missing evidence, repeated weak domains—each row linkable to case evidence.

What it means

Governance is proactive; reputational risk is reduced because review happens before external narratives harden.

What action it enables

Assign reviewers, attach adjudication notes, and close the loop into training or policy updates.

05 · Reporting separation and disclosure controls

Internal truth and external story, explicitly separated.

Not every insight belongs in a patient-facing or public summary. The layer enforces which artifacts are internal-only, which are cleared for controlled disclosure, and which require sign-off—aligned with institutional policy.

Internal reporting

  • ·Full domain breakdown, reviewer notes, and benchmark methodology footnotes
  • ·Governance outcomes and training assignments tied to case IDs

External / public layer

  • ·Summary score and banding only after adjudication state = cleared
  • ·Optional patient-facing certificate language with fixed disclosure rules

Public view locked until governance queue clears for cohort HT-Q1.

Suggested visual

Split view or toggle: 'Internal' vs 'External preview' with watermark on draft public summary.

What you see

Distinct report objects and permissions: internal pack vs cleared external summary, with lock state visible in UI.

What it means

Trust: stakeholders know what was reviewed before anything leaves the organization.

What action it enables

Run disclosure reviews, export compliant summaries for partners or patients, and avoid accidental over-sharing.

Who uses this layer

Same surface, different decisive questions.

The command layer stays consistent; the job title changes what you optimize for—from technique to portfolio to standards.

Surgeon / clinical lead

Domain-level performance and defensible feedback loops.

Dr. Chen opens the executive tile for her rolling 90-day cohort: overall audit score, extraction integrity vs peers, and a short list of cases flagged for pattern review—not a generic “quality score,” but where her technique diverges from the benchmark she chose to hold herself against.

Clinic operator

Site standing, disclosure readiness, and internal assurance.

The clinic brand lead compares this month’s median score to the group’s internal target, checks the governance queue before any external reporting, and routes two cases to clinical review—so public-facing claims stay aligned with adjudicated evidence.

Group operator

Portfolio drift, capital allocation, and cross-site consistency.

A network COO views cohort standing by region and surgeon tier, spots a site whose donor-management scores lag peers, and opens a portfolio action: targeted training budget and a follow-up audit window—signal-driven, not survey-driven.

Standards / review body

Traceability, review pathways, and methodology alignment.

An IIOHR-aligned reviewer sees separation between internal adjudication and any public summary, exports a structured case packet for committee review, and ties findings back to training modules—without raw operational noise in the institutional record.

Scenario

From deviation to decision—in one system.

A realistic path through the layer when quality signal breaks from expectation. Names and IDs are illustrative.

  1. 1

    Signal

    Weekly cohort review shows extraction integrity for surgeon A drops from the 88–91 band to 79–83 over ten cases—domain view, not headline score alone.

  2. 2

    Triage

    Governance queue auto-prioritizes a P1 pattern break: three cases in five days below the extraction floor. Cases HT-2388, HT-2394, HT-2401 attach with evidence thumbnails.

  3. 3

    Review

    Lead reviewer locks an internal adjudication pack; peer comment added. Public reporting remains locked for that surgeon’s public tile until cleared.

  4. 4

    Route

    Outcome: targeted FUE mechanics refresher assigned via IIOHR-aligned training module; second-line QA on next fifteen cases. Portfolio view shows the site operator a single action item with owner and due date.

Suggested visual

Storyboard strip: four panels (domain chart dip → queue screenshot → review modal → training assignment) for sales deck or product marketing.

Proof of depth

This walkthrough is representative of how Follicle Intelligence is meant to be deployed: one command layer for benchmarked quality, not a chart library bolted onto a database.

Live demos cover tenant configuration, cohort rule sets, reviewer permissions, and export behavior—aligned to your governance model.

Follicle Intelligence™ connects HairAudit (surgical evidence and audit surface), Hair Longevity Institute (biology and longitudinal treatment intelligence), and IIOHR (methodology, training, standards, and governance alignment).