Analytics Expertise for AI Products

Scale your AI product with data-driven optimization.
From observability setup to custom evaluation frameworks, I help teams build systematic approaches to improving their AI systems.

1

AI Observability Setup

What it is
Instrument your AI system to track latency, cost, error modes, and user outcomes.
Value
See what your models are really doing in production and catch problems before users do.
Typical deliverables
  • Logging and monitoring dashboards
  • Alerting pipelines
  • Integration with your analytics stack
2

Custom Eval Design

What it is
Define and implement eval methods that reflect your product's actual success criteria (e.g., helpfulness, tone, conversion).
Value
Replace generic benchmarks with evals that map directly to your business goals.
Typical deliverables
  • Custom eval datasets
  • Automated scoring pipelines
  • Human-in-the-loop review processes
3

Experimentation Process & Infrastructure

What it is
Set up a repeatable way to test prompts, models, and policies — from hypothesis to rollout.
Value
Move from ad-hoc tweaking to a scalable experimentation engine.
Typical deliverables
  • Experimentation framework
  • Runbooks
  • Experiment tracking system
  • Training for product/ML teams
4

Cost & Performance Tuning

What it is
Audit and optimize the trade-offs between model size, quality, latency, and cost.
Value
Cut unnecessary spend while maintaining or improving outcomes.
Typical deliverables
  • Benchmark reports
  • Caching/quantization strategies
  • Routing logic for model selection
5

Analytics for AI Products

What it is
Translate model outputs into product-level metrics (engagement, retention, satisfaction).
Value
Align AI system optimization with the metrics that matter to your business.
Typical deliverables
  • KPI framework
  • Product analytics integrations
  • Dashboards tying model metrics to user outcomes

About

Tim Daniell

I'm Timothy Daniell, an AI product builder and analytics expert.

I've been building AI products for the last 10 years, and also have deep expertise in product analytics having consulted many growth startups on the topic.

I'm now focussing on the exciting intersection of these domains, ready to get my hands dirty setting up insightful analytics for this new paradigm of AI products.

Trusted by AI Product Leaders

"

Tim is an expert when it comes to analytics. Our product has complex user workflows, and in 2 weeks he fixed our analytics setup and created excellent dashboards that actually track what matters for our business.

Marlon Misra
CEO of Copilot

Ready to Scale Your AI Product?

Let's discuss how data-driven experimentation can accelerate your AI product development.

I typically respond within 24 hours. Projects range from 2-8 weeks depending on scope.