Independent aggregate research · California practice signals
What California therapists need help solving.
A privacy-safe view of recurring referral constraints, payer questions, training needs, groups, operations, and location signals.
Explore →This is aggregate demand evidence—not a directory. It cannot identify individual demand, show which providers are available, establish what a plan reimburses, or prove that a need is underserved.
- Bay Area-centered professional sample; not statewide representation
- No names, source text, contact details, or individual records
- Small cells suppressed rather than exposed
Interactive aggregate explorer
See which practical needs recur.
Each view answers a different question. Values show relative frequency, categories overlap, and percentages should never be added together.
Recurring practice needs
The broad operating questions and coordination work that appeared most prominently in the sample.
Relative frequency within this view. Categories can overlap; values should not be added together.
How to read it
Four limits protect the interpretation.
A signal is not a person.
These are aggregate patterns, not unique clients, therapists, or requests.
Categories overlap.
One referral can involve telehealth, couples work, a payer, and a city. Percentages within a view do not sum to 100.
Demand is not supply.
A frequent need does not prove a shortage, provider availability, market size, clinical prevalence, or reimbursement level.
Geography stays separate.
Location remains separate from payer and specialty, reducing both distortion and re-identification risk.
Useful next steps
Use the pattern to improve information—not profile people.
Build a non-identifying request.
Separate requirements from preferences and avoid client-identifying details.
Constraint testSee what can broaden safely.
Test one referral constraint at a time without pretending to know provider supply.
Payer operationsUnderstand the insurance path.
Move from a payer name to the product, network, administrator, eligibility, and verification questions.
Maintained informationCompare training and CE resources.
Use verified dates, prerequisites, costs, and first-party links.
Reusable public data
Keep the aggregate; leave the people out.
The JSON contains four aggregate views, method notes, a review window, and privacy rules. It contains no source text or individual records.
Research window: 24 April–22 August 2026 · aggregate patterns only · last reviewed 24 August 2026. Report a data or interpretation problem →
