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📊 Full opportunity report: How To Find A Therapist For Screen Addiction on IdeaNavigator AI — validation score, market gap, and execution plan.

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TL;DR

How To Find A Therapist For Screen Addiction

IdeaNavigator AI has proposed a therapist directory focused on compulsive screen use, with profiles documenting relevant training, treatment approaches and case experience. The concept has not been shown to be operating or validated; a proposed test would recruit 50 verified specialists in three metro areas and track booked consultations.

IdeaNavigator AI has proposed a therapist directory for people seeking help with compulsive screen use, including gaming, pornography and social-media use. The concept would ask listed clinicians to document their screen-specific training, treatment approach and relevant case experience, addressing a gap the proposal identifies in general therapist directories; no operating service or measured results are described.

The proposed service is aimed at an individual or parent trying to find a clinician who works with a particular pattern of screen use. Patients using broad directories may encounter clinicians who select a “technology addiction” category but, according to the proposal, do not have a defined approach for the concern they are seeking help with. That can mean paying for an intake appointment before learning whether the clinician has relevant experience.

The suggested minimum product would let patients filter clinicians by type of concern—gaming, pornography or social media—along with age group and telehealth availability. The platform would check therapists’ stated qualifications and experience, though the proposal does not specify how that verification would work or what evidence clinicians would need to provide.

The proposed business model combines therapist listing subscriptions with fees for bookings made through the directory. To test demand, IdeaNavigator AI suggests recruiting 50 verified specialists in three metropolitan areas, publishing patient-acquisition content and measuring booked consultations per listing each month. Those steps are a suggested validation plan, not evidence that recruitment, marketing or booking tests have taken place.

At a glance
reportWhen: Proposal described in IdeaNavigator AI…
The developmentIdeaNavigator AI has outlined a proposed therapist directory for people seeking care for compulsive gaming, pornography use or social-media use.

Making Specialist Care Easier to Find

The idea targets a practical problem in behavioral-health access: a directory category may describe a clinician’s general interest without showing whether that clinician has relevant training or experience. For people seeking care, clearer profiles could make it easier to compare providers before paying for an initial appointment. For parents, filters by age group could help narrow a search for a clinician who works with children or adolescents.

The proposal also has a business question at its center. A directory would need enough appropriately qualified therapists to offer useful choices, while also attracting patients who are actively looking for this type of care. Booked consultations per listing could provide an initial signal of whether the service connects patients and clinicians, but the proposed metric alone would not establish treatment quality, clinical benefit or long-term demand.

The claims that screen-related presentations are increasing and that specialist training is lagging are presented as the rationale for the idea, not supported here with figures or independent research. The potential value of a dedicated directory therefore depends on whether patients experience the reported search problem and whether clinicians can be verified consistently.

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The Proposed Directory’s Scope

IdeaNavigator AI frames the concept as a narrow first use case within behavioral-health navigation: helping one person, or a parent, find a therapist for a specific form of compulsive screen use. Rather than attempting to cover all mental-health care, the directory would organize providers around three presentation categories—gaming, pornography and social media—and add age and telehealth filters.

The proposal describes a gap between searchable labels and documented specialization. A therapist’s selection of a technology-related category in a general directory, it says, may not tell a prospective patient whether the clinician has a treatment protocol or experience relevant to that person’s concern. The suggested response is to collect more detailed clinician information and have the platform verify it.

These points describe the rationale and design of a proposed service. The material does not provide prevalence estimates, research findings, interviews with patients or therapists, or evidence comparing specialist directories with general ones. It also does not establish that all compulsive screen use is the same clinical issue; the proposed filters distinguish among different concerns but do not explain how clinicians would assess them.

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Verification and Demand Still Unproven

No launch, participating clinicians or patient results are reported. It is unclear whether a company or team is building the directory, which three metropolitan areas might be involved, or when a test could begin. The proposal gives a target of 50 specialists but does not say whether any have been recruited.

The verification process also remains unspecified. The proposal does not define what counts as screen-specific training, how case experience would be checked, how often listings would be reviewed, or what would happen if a clinician’s qualifications could not be substantiated. Without those details, prospective patients cannot assess how the directory would distinguish verified specialization from a self-selected listing.

There is also no reported evidence that people seeking help would use a dedicated directory, that clinicians would pay subscriptions or booking fees, or that the suggested acquisition strategy would bring in patients. The proposal’s statements about rising presentations and limited training are not accompanied by data, so the scale of the claimed gap is unknown.

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A Three-Metro Test Would Measure Bookings

The next step described in the proposal is a pilot: recruit 50 verified specialists across three metro areas, attract prospective patients through content and record how many consultations are booked per clinician listing each month. No schedule, locations, budget or recruitment process is given, and no pilot results are available.

If such a test proceeds, the verification rules and the definition of a booked consultation would be necessary to interpret its results. The proposed monthly booking measure could show whether listings are producing appointments, but further evidence would be needed to judge whether patients find suitable care, whether clinicians’ stated expertise matches their needs and whether the model can support ongoing operations.

For now, the development is a product proposal rather than a new treatment service or clinical guideline. Whether it advances will depend on whether its proponents recruit clinicians, establish transparent listing checks and demonstrate that patients use the directory to find care.

Source: IdeaNavigator AI

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Key Questions

Has a screen-addiction therapist directory launched?

No launch is reported. IdeaNavigator AI describes a proposed directory and a possible pilot, without naming an operating service or launch date.

What kinds of concerns would the directory cover?

The proposed filters would cover gaming, pornography and social-media use, as well as age group and whether a therapist offers telehealth.

How would therapists be verified?

The proposal says the platform would verify clinicians’ screen-specific training, treatment approach and case experience. It does not explain the verification standards or process.

How would the proposal test whether patients want the service?

It suggests recruiting 50 verified specialists in three metro areas, using patient-acquisition content and measuring booked consultations per listing each month. No test results have been reported.

Source: IdeaNavigator AI

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