How these tools work

Only confirmed strengths supporting career families you select. Your private story and purpose notes are not part of the scoring input. Energy notes help order suggestions inside discovery; they do not add points in Navigator.

For example, keeping reliable records may connect to compliance evidence or incident documentation. That gives you work to explore; it does not establish technical skill or job readiness.

You can edit or remove findings, or turn off their contribution in Identify. Earlier interest-questionnaire results remain available for review and optional reuse. New users take only the Identify direction questionnaire.

Open Ikigai →

Each answered lens produces a relative 0–100 score for each domain. The starting weights are shown below. Skipped skill ratings and an untouched priority order do not contribute; weights are redistributed across the lenses with answers.

The weighted average is the baseline. When enabled Ikigai findings support one to four of the five domains, the final score is 90% × baseline + 10 points for a supported domain (zero added points for other domains).

Example: a baseline of 60 becomes 64 for a supported domain, or 54 for an unsupported domain. If no domains or all five are supported, the baseline is unchanged. Repeated stories do not increase the weight.

An earlier interest shortlist can join by explicit choice, within the same total 10% adjustment. Unsupported fields are excluded. Old questionnaire scores are never averaged with Navigator scores.

This weighting is an editorial exploration rule, not an empirically validated prediction. Occupational sources support task descriptions; they do not validate the weighting or your readiness.

Scores show relative support from your answers, not a percentage chance of getting hired. The signal label summarizes the lead between domains and agreement among inputs; it is not statistical confidence.

The diagram shows questionnaire answers. The separate “How Ikigai informed your direction” panel explains saved findings and the before/after scores. Professional-skill ratings remain yours to choose.

Review the strongest directions, then compare actual specialties. Recalculation preserves your chosen career. The current engine is version 5; up to ten completed attempts are kept locally. Reviewing results alone does not add an attempt.

Open Identify → · Compare careers →

Discovery starts with a specific experience and the strengths you confirm in it. The character-strengths survey asks about your general tendencies. They are separate inputs; neither establishes professional competence.

Recognized top and bottom strength names can add a fifth Navigator lens. Local survey scoring needs no AI. Optional AI interpretation sends the relevant assessment context when requested.

Open the optional strengths survey →

Navigator suggests broad directions; selected discovery families and supported earlier interests offer paths to explore. Your explicit career choice takes priority. These signals never waive technical foundations or certification eligibility requirements.

Explicit professional-skill ratings can add practice prompts. Education and work background shape examples of evidence you could prepare. The time estimate divides editorial practice hours by your weekly availability; it is not a course-runtime or hiring forecast.

Certification options are alternatives. The subtotal includes at most one verified base exam fee; training, membership, application, tax and renewal costs are disclosed separately. Unknown prices are excluded. Check the plan’s dated provider sources before paying.

Fresh recommendations re-evaluate changed Ikigai findings. Your chosen specialty and an existing shared plan remain stable until you choose to refresh them.

Share links carry a compact assessment summary, not raw stories or answers. “Use my current results” replaces a shared summary with the results saved in your browser.

Continue with Acquire for learning resources, Build for portfolio tasks, and Navigate for job-search tracking. These stages are independently accessible.

Build a roadmap →

AI features send the context needed for the requested task, which can include extracted document text, application details and conversation. In preparation, you can select up to five confirmed experience examples for practice and coaching. Unselected discovery stories are excluded; editing an example requires selecting it again.

Research is optional and starts empty. Saved research is collapsed until you open it; “Remove saved research” deletes it and its sources while keeping your target and preparation. Saved research for a changed target or with unverified provenance stays viewable but is excluded from new AI context until refreshed. General practice omits target company, role, job posting and target research.

The app shows available models in its model picker. Claude requests are processed by Anthropic; Nemotron requests use NVIDIA when offered. Live web research uses Anthropic. Quotas and access-code allowances can change.

A personal Anthropic key is kept in this tab’s session storage and sent with requests to our backend and the selected provider. It is not intentionally persisted by our backend. Remove it to clear it; closing the tab normally clears it, but browser session restore can behave differently. Provider billing applies to your key.

Prepare an interview →

The career hub’s JSON export includes career progress and the shared profile, including private reflections. Import restores them. Full interview documents, conversations and survey scores in the separate interview session are not included.

A discovery-notes download contains private stories. A compact roadmap share link excludes those stories. There is no account-based profile sync; clearing browser storage can remove saved work.

• Identify: Start fresh. Clears its answers, skill ratings, results and applied-strength selection. Keeps discovery, shared strengths, your chosen career, roadmap and interview preparation.
• Clear interview data / Start a new interview. Clears application details, documents, research, selected examples and conversation. Keeps discovery and assessments.
• Delete discovery & strengths data. Removes discovery, earlier interests, shared/interview strengths and selected examples. Keeps Navigator answers/results and application documents. Existing generated conversation text is not retroactively erased.
• Clear career data. Clears career storage and the shared profile. The separate interview session remains; use its controls to delete interview data.

Salary figures describe the source’s population and period, not a promised wage. Provider pages are the authority for current prices and eligibility. Records awaiting provider confirmation say so.

Strength-to-career connections, recommendation weights, practice prompts and allocated study hours are editorial choices. A citation for a job task does not validate a personal match score.

Courses, certifications, communities and job boards are options, not endorsements or guarantees. Cybersecurity Circle is not responsible for third-party content, pricing or availability. Verify important details with the provider before spending time or money.