Delivery Confidence Assistant

challenge

Challenge 6

brief

Delivery Confidence Assistant built a data‑driven Delivery Confidence Assistant that scores forecast‑credibility risk and translates complex delivery signals into clear, actionable insights. The solution combines transparent rules, lightweight modelling and Power BI‑ready outputs to show which tasks are likely to slip, why programmes and work centres behave differently, and what actions should be taken to protect committed work.

Please be aware that this content was generated follwing an automated review so may not be perfectly accurate; refer to the original challenge brief and team files for authoritative information

key outcomes

Enables earlier, more confident intervention by converting delivery noise into prioritised risks and recommended actions, reducing late surprises and improving confidence in commitments.

important files

• Power Bi Dashboard/Data Sources/executive_summary_snapshot.csv: Executive snapshot aggregating high‑risk tasks, committed exposure, hotspots and priority actions.
• Power Bi Dashboard/Data Sources/task_snapshot_scored.csv: Task‑level scored outputs including slip probability, slip size and rule‑based recommendations.
• Power Bi Dashboard/Data Sources/programme_snapshot_features.csv: Programme‑level features and archetypes explaining planning behaviour over time.
• Python Scripts/create_powerbi_page_visuals.py: Generates Power BI‑style page visuals from scored outputs for report design.

details

team: Delivery Confidence Assistant members: tbc topics: solution-centre, hack27, challenge6, python, power-bi, data-analytics, rule-based-models, clustering, delivery-confidence, early-warning, dashboards, planning-behaviour, decision-support technologies: Python, Power BI, data-analytics, rule-based-models, clustering