The scoreboard, honestly: the hard targets, how often each one is actually looked at,
and the quiet human signals that never make it onto a dashboard.
Research Quality & Accuracy
How accurate and comprehensive your market research, competitor analysis, and data pulls are.
Target · >90% accuracy and completeness on key data points.Your analysis of emerging FinTech trends identifies a new competitor six months before they hit the mainstream, giving us time to react. Or, conversely, a major data point in your market sizing is found to be incorrect, leading to a flawed initial business case.
Deliverable Timeliness
Getting your workshop summaries, analysis reports, and initial business case drafts in on schedule.
Target · 95% of assigned deliverables met by agreed deadlines.You committed to having the customer interview synthesis ready by Friday, and it's in your manager's inbox by Thursday afternoon. Or, a key report is delayed, holding up the next phase of a project by a week.
Customer/Stakeholder Interview Volume & Quality
The number of relevant individuals you speak to and the depth of insights you extract from those conversations.
Target · Conduct >15 meaningful interviews per project phase, with actionable insights recorded.You conduct 20 interviews for a new product concept, uncovering three critical unmet needs that weren't on our radar, directly shaping the product's features. Or, you only manage 5 interviews, and the insights feel a bit thin, leaving us with more questions than answers.
Initial Business Case Modelling Accuracy
How robust and realistic your initial financial projections and assumptions are for new concepts, even if they're just drafts.
Target · <15% variance from refined business cases (after further validation).Your initial model for a new service estimates £2M in revenue potential, and after a pilot and deeper market validation, the refined model shows £1.8M – a pretty good starting point. If it was £500K, that's a problem.
Clarity of Analysis & Communication
How well you simplify complex information and present your findings in a way that's easy for anyone to understand, regardless of their background.
- Your reports are easy to read, even for non-technical audiences. Colleagues often comment on how clearly you explain things in meetings. You use visuals effectively to convey data. You can summarise complex findings in a concise email or a quick chat without losing the core message.
Proactive Problem Identification
Your ability to spot potential roadblocks or issues in a project before they become big, messy problems, and then suggesting ways to fix them.
- You flag data quality issues early in a project. You point out a potential conflict between two project workstreams. You suggest an alternative approach when an initial plan hits a snag, rather than just waiting for instructions. Your manager rarely has to chase you for updates because you're already flagging progress and challenges.
Stakeholder Engagement & Collaboration
How effectively you work with colleagues from other teams, gather their input, and keep them in the loop on your workstreams.
- People from other departments seem happy to work with you. You get timely responses to your requests for information. You're invited to informal meetings because people value your input. You actively seek out different perspectives and incorporate feedback into your work, rather than just pushing your own agenda.
Adaptability & Learning Agility
Your willingness to adjust your approach when new information comes to light, and your eagerness to learn new tools or methodologies.
- When a project's direction changes, you quickly pivot your work without complaint. You're keen to try out new research methods or software. You actively seek feedback on your work and apply it. You're not afraid to admit when you don't know something and ask for help or guidance.