onewave-ai Champion Identifier
Find the internal champion most likely to advocate for the solution at a target account, using structured LinkedIn and account analysis.
Contents
- references/scoring-framework.md - champion profile, six scoring dimensions, total-score bands, warning signs
- references/output-template.md - the full Markdown report structure to produce
- references/outreach-templates.md - warm-intro, forwardable, direct, and opening-line messages
- references/meeting-prep.md - discovery and qualification questions, red flags
- references/multi-threading.md - sequence, coverage map, DMU table, org-chart format
- references/champion-development-plan.md - five-phase plan with success metrics
- references/playbook.md - tips, best practices, trigger phrases, worked example
Workflow
- Gather inputs: the company, the solution being sold, and any known contacts or mutual connections. Ask for whatever is missing.
- Research the company and the department the solution touches: stage, recent news, likely pain points, decision-making style, and hiring signals.
- Identify 5-10 candidate individuals on LinkedIn within the relevant department and leadership chain.
- Score each candidate across the six dimensions (0-10 each, 0-60 total) per references/scoring-framework.md, citing concrete evidence for every score.
- Rank candidates best to worst, and flag anyone who is a blocker or coach rather than a champion using the warning signs.
- For the top candidates, choose an outreach path (warm intro vs. direct) and draft the message from references/outreach-templates.md, plus personalization hooks and meeting prep from references/meeting-prep.md.
- Build the multi-threading plan and account map (DMU table, org chart) per references/multi-threading.md.
- Assemble the full report following references/output-template.md, filling every field with researched specifics and no placeholders.
- Recommend next steps using the phased plan in references/champion-development-plan.md.