Process
How CareerSynth works
Direction first, then documents. The analysis works from the evidence you supply, shows its reasoning, and states plainly where it is uncertain.
- 1
Provide your evidence
Upload a CV as PDF or DOCX, a LinkedIn export, or both, and answer five questions on current role, target role, experience, industry and the impact you want next.
- 2
Diagnose your positioning
The analysis extracts what your documents actually prove, scores five positioning dimensions, and separates fact from interpretation and assumption.
- 3
Compare realistic paths
Three candidate directions are set out side by side on fit, demonstrated readiness, evidence gaps, transition difficulty and first validation action.
- 4
Choose a direction, then position for it
Once you pick a target, the full report translates it into CV and LinkedIn recommendations and a sequenced 30-60-90 day plan.
Premise
Career decisions are positioning decisions
A hiring decision is comparative. Your record is read against a specific role and against the other candidates for it, so the outcome depends less on how well a document is written and more on which role you are asking to be read for. Two people with equivalent experience can be credible directors in one market and credible senior managers in another. Choosing that target is the decision, the document follows from it.
Sequence
Why we start with direction, not document optimization
Rewriting a CV before the target is settled optimises for an unknown reader, which is why generic rewrites feel tidier without changing results. CareerSynth begins with the free Career Direction Preview: current positioning, strongest next role and realistic alternatives. Positioning guidance for CV and LinkedIn is produced afterwards, against the direction you actually chose.
Evidence
How your source evidence is used
Nothing appears in a report without a source. Each conclusion is tagged so you can see what you are reading and check it.
- Extracted fact
- Taken directly from your uploaded CV or LinkedIn export.
- User statement
- Provided by you in the questionnaire.
- Interpretation
- A reading of that material, with reasoning shown.
- Assumption
- A provisional gap filler, flagged for you to confirm.
- Recommendation
- A proposed action, linked to the evidence behind it.
Files are stored privately, used only to produce your report, and can be deleted from your dashboard at any time. Where evidence is too thin to support a conclusion, the report returns insufficient evidence and asks a targeted question instead of guessing.
Scoring
How the positioning score works
The Career Positioning Score rates five dimensions from 0 to 100. Each one lists the contributing factors, the evidence cited, the evidence still missing, a confidence level, and the single action that would move it most.
- Leadership scope
- The size and type of responsibility your record demonstrates.
- Evidence of impact
- Whether outcomes are stated concretely enough to be verified by a reader.
- Market relevance
- How current the domain, tools and problem space are for your target role.
- Strategic differentiation
- What separates you from adjacent candidates with a similar title.
- Target-role readiness
- The distance between your demonstrated record and the role you named.
This score is a decision-support indicator based on the information provided. It is not an objective market ranking. The overall figure is a weighted combination of the five dimensions, and the weighting is shown in the report rather than hidden.
Uncertainty
How assumptions are handled
Budget ownership, team size and the real scope behind a title are often missing from a CV. Instead of inferring silently, each gap is recorded as an assumption, with what was assumed, why, and the effect on confidence for every conclusion that depends on it.
When an assumption would materially change the recommendation, the wizard asks up to three targeted follow-up questions before continuing. Every report closes with an assumptions section stating what would change if a given assumption proved wrong.
Transparency
What AI does, and what it does not do
CareerSynth uses general-purpose large language models via a hosted provider, constrained by our own schema, validation rules and prompts. We make no claim to a proprietary or specially trained career model. Every response is validated server-side against a strict structured schema before it is stored or displayed, and invalid responses are rejected.
What AI does
- Extracts structured evidence from your documents and answers.
- Labels each conclusion by content type and confidence level.
- Proposes and compares career paths, with reasoning shown.
- Drafts CV and LinkedIn positioning guidance tied to that reasoning.
- Asks up to three follow-up questions when evidence is insufficient.
What AI does not do
- Invent employment history, achievements, salaries or market statistics.
- Rank you against other users or an external market benchmark.
- Predict hiring outcomes or guarantee interviews.
- Decide for you. The report supports your decision.
- Contact employers or apply on your behalf.
Fit
Who this is designed for
Experienced professionals making a specific decision: managers weighing a director-level move, technical experts considering leadership, directors comparing several credible paths, and people planning a sector, function or country change. It is not built for volume applications, early-career profiles with limited evidence, or anyone expecting a guaranteed outcome.
CareerSynth is an independent product and is not affiliated with, endorsed by, or acting on behalf of any employer, recruiter or consultancy.