If you’re searching “find my next career move”, you’re likely at one of two points: you’re ready for more responsibility, or you’re ready for different work. Either way, the fastest route in 2026 is to pick one realistic target role, extract what UK employers repeatedly ask for, then build proof for the top gaps. You can do the role‑matching step inside the Find My Lane app, then use this plan to execute.
Your next career move is usually one of three types:
A simple decision rule: if you can tell a strong story for the next level in your current path, pursue promotion. If you dislike the core work, pivot—but keep the pivot realistic (adjacent skills) so you can move within 4–10 weeks.
Pick your target role title and collect 10–15 UK job adverts. Extract recurring requirements: tools, responsibilities, domain knowledge, seniority signals, and “nice-to-haves”. Then sort each item into:
AI helps here when it produces structure. Use it to extract the recurring list and to draft truthful bullets from your evidence. For the automation playbook, see AI job search tools. If you’re Premium, the CV Profile helps highlight missing skills/keywords so you can target the right proof assets.
Turn your checklist into a plan you can actually follow:
If you want a guided version of this with weekly missions and progress tracking, use the Career Transition Plan.
Summary: The fastest way to “find my next career move” is to pick one realistic target role, run a job‑ad gap analysis, and build proof assets on a 30–60–90 cadence. In 2026, proof beats potential.
Salary matters, but it’s not the only input. Include it as a constraint (a salary floor), then optimise for fit, demand, and transferable skill growth.
Use “small proof”: a one‑page case study, a process improvement write‑up, or 2–3 quantified CV bullets. You can build credibility without a massive portfolio.
Tell a consistent story: why this role, why now, and what proof you’ve built (projects, outcomes, learning). For deeper tactics, see career change (UK).
Use AI for structure and speed (research, checklists, drafting), but keep the content truthful and specific. Generic AI outputs often reduce response rates.