A focused research project combining interviews, process mapping, and lightweight data analysis (including pilot AI topic discovery) to surface systemic improvement opportunities.
Discover Hidden Opportunities: Why a short cross-functional knowledge mining project pays off. Most organizations surface problems inside functional boundaries: a dashboard in finance, a complaint in customer support, or a quality spike on a production line. But many high-value opportunities live between those...
How to run a 4–8 week Cross‑Functional Knowledge Mining Project. This guide gives a compact, practical playbook you can use to discover systemic opportunities that span teams. It assumes a small, mixed team (3–6 people) and a sponsor who cares about a specific outcome or decision. 1. Frame the opportunity (day 0–3)...
Explore this interactive audit, assessment, reflection, or practical tool. Sign in to save your responses and return to them later.
Ethics, Privacy & Validity Checklist for Knowledge Mining. Use this checklist before analyzing text data, running topic models, or sharing interview notes. Define allowed inputs: List the specific data sources you will use (interview notes, ticket text, exports). Avoid collecting full email boxes or entire chat...
Prioritization Worksheet — Impact vs Cross‑Functional Reach. Use this worksheet to convert observed hypotheses into prioritized experiments. How to use. For each hypothesis, estimate two scores (1–5): Impact (how much benefit if solved) and Reach (how many teams/functions are affected). Multiply the scores to create a...
Illustrative example: Reducing handoff delays between operations and sales (anonymized). This anonymized, illustrative example shows how a short knowledge-mining project can uncover a cross-functional opportunity. Problem. Sales teams reported frequent delays handing projects to operations. Operations flagged...