CLIENT PRODUCT / TRACKED EVENT / FUNNEL DEFINITION

AI agent for product analytics consultancies

Explain where the journey breaks, then check the repair.

Audit product instrumentation, analyse customer journeys and verify experiment findings—carried through by an autonomous AI agent that adapts to your work.

A specialised AI agent you can ask for more. Chat here on the site.
$249.00/month, including $50.00 in monthly credits. Monthly subscription. Before tax.

Specialised AI agentYour own report presetNo connection needed to begin
Client product workbenchSPECIALIST / 1057
Verify experiment findings. With the source records attached.ILLUSTRATIVE STUDY
YOUR SPECIALISED AI AGENT

One place for audit product instrumentation, analyse customer journeys, verify experiment findings.

MADE FOR YOUR WORKDAY

Start with work already on your desk

Your first useful assignment.

Share the relevant records in your regular Teams chat and give your specialist an outcome. No model or tool choices to make first.

Get my AI agent →
YOU COULD ASK
“Audit the client's signup funnel, find the largest verified drop-offs and deliver a prioritised improvement plan with working measurement.”
  • Audit product instrumentation
  • Analyse customer journeys
  • Verify experiment findings

A useful first result
An editable client product and funnel definition register with traceable references, resolved discrepancies and specific next actions.

Example assignment, not a promised delivery time. Your agent works from the records and access you provide. Add connections when you want it to act in other systems.

A conversation at your desk

Audit the client's signup funnel, find the largest verified drop-offs and deliver a prioritised improvement plan with working measurement.

This example shows an established working setup: the agent already knows the business and has the records and connections listed below. Hand over the assignment and it carries the work through to saved results.

Illustrative project · configured agent at work

A configured agent with your client product, tracked event, funnel definition records, current commitments and the connected accounts used to analyse customer journeys.

  • Audit product instrumentation
  • Analyse customer journeys
  • Verify experiment findings

A working specialist can handle the project, with a configured team sharing the work where available. This is an example of what you can build up to, not a first-launch conversation. Timing and usage depend on the assignment.

  1. You · Product analytics consultancies

    Audit the client's signup funnel, find the largest verified drop-offs and deliver a prioritised improvement plan with working measurement.

  2. Your AI agent · AI Agent Store

    A renamed event makes completion look lower than it is. I am repairing the mapping and rebuilding the comparable funnel.

    Work in progress
  3. You · Product analytics consultancies

    Use the original cohort definition and separate tracking fixes from product improvements.

  4. Your AI agent · AI Agent Store

    The client has a corrected funnel, documented tracking changes and an experiment plan based on actual remaining drop-offs. Your working files and dashboard reflect the recorded outcomes.

    Later · delivery and saved results

CLIENT PRODUCT / TRACKED EVENT / FUNNEL DEFINITION

A working brief for your AI agent.

Preserve event schemas, user identity rules, cohort windows and experiment assignments. Investigate instrumentation changes before interpreting conversion or retention movements. Your specialist maintains these working records in regular Teams as the assignment develops.

AI

Your AI agentPrepared for product analytics consultancies

Client product and funnel definition registerEXAMPLE, NOT LIVE ACTIVITY

An example record for client product, tracked event, funnel definition, tracked steps.

01Client product02Tracked event03Funnel definition

The useful next step

Audit product instrumentation

Audit product instrumentation using the current client product and its supporting records.

The details your specialist follows

Working records for product analytics consultancies

Follow each client product through the working record. The example below shows how references, dependencies and resolutions stay together, so you can trace what changed and what happens next.

Keep an eye on: changes in tracked event, missing funnel definition evidence and unresolved client product dependencies.

Illustrative working document · your records start empty

Client productDependency to followEvidence of completion
OPPORTUNITY031-104Audit product instrumentationTracking defects resolved
OPPORTUNITY031-118Analyse customer journeysExperiment analyses completed
OPPORTUNITY031-126Verify experiment findingsAnalytics delivery dates met
Active client product records3
Tracked steps across the planned work35 tracked steps
Outcomes with supporting evidence2

Illustrative project figures. Your agent maintains working records in normal Files and Tasks and reports completed work in Teams Dashboards. Ask it to adapt those records and reports as your workflow changes.

From enquiry to a useful next step

Client product and funnel definition register. Your way of working.

01

Brief and source records received

Add a job reference and the details you already know.

02

Audit product instrumentation

Client product and Tracked event, ready to check.

03

Analyse customer journeys

Give your specialist the outcome and let it carry the work forward.

04

Outcome evidence verified

Keep working records in Files and Tasks.

05

Verify experiment findings

Keep the job and its next steps together.

Ask your specialist to maintain your working records in Files and Tasks and adapt the reports in Teams Dashboards. These are the regular platform tools, prepared for your business. Connections to other systems are optional.

A small tool for a real job

Tracked steps across the planned work. Before the back-and-forth.

Watch for changes in tracked event, missing funnel definition evidence and unresolved client product dependencies. Investigate the cause, carry useful follow-through to completion and improve the saved method when it helps.

Try the numbers, then bring the confirmed brief to your specialist. Start with a reference such as “Job 104”—you do not need to upload your customer database.

  • Client product
  • Tracked event
  • Funnel definition
  • Tracked steps

Try your own numbers

Tracked steps across the planned work

35tracked steps across the planned work

Planning arithmetic from your inputs. Your specialist can turn the confirmed details into a working brief. This is not a quote or capacity commitment.

Built around the details that matter

Audit product instrumentation. With the right questions already in mind.

Client product behaviour and instrumentation analysis, distinct from website conversion design and internal reporting teams.

01

Audit product instrumentation

Audit product instrumentation using the current client product and its supporting records.

02

Analyse customer journeys

Analyse customer journeys while keeping tracked event changes traceable.

03

Verify experiment findings

Verify experiment findings with checked funnel definition evidence and editable working files.

Prepared for your business

The numbers behind your ai agent for product analytics consultancies.

Six useful measures, ready in your regular Teams dashboard. Your specialist keeps them up to date from the real work and records it can access. Ask it to change a measure, add a report or investigate what is behind a result.

01

Recorded cases · outcomes

Product analysis packs delivered

What this measures

Count one distinct observed outcome for “Product analysis packs delivered”, linked to its client product and stable completion-event ID. Use the real completion timestamp and supporting funnel definition reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

02

Recorded cases · outcomes

Tracking defects resolved

What this measures

Count one distinct observed outcome for “Tracking defects resolved”, linked to its client product and stable completion-event ID. Use the real completion timestamp and supporting funnel definition reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

03

Recorded cases · outcomes

Experiment analyses completed

What this measures

Count one distinct observed outcome for “Experiment analyses completed”, linked to its client product and stable completion-event ID. Use the real completion timestamp and supporting funnel definition reference. Pending, merely promised, repeated and illustrative outcomes do not count. Revisions or corrections replace the original event rather than creating duplicate completions.

04

Average · hours

Analysis brief accepted to findings delivered

What this measures

Measure “Analysis brief accepted to findings delivered” in elapsed hours using the actual start and end timestamps for the same client product. Store one duration per completed observation with source references and timezone. Exclude pending cases, missing timestamps, reversed intervals and illustrative values. Never substitute a current status or sum recurring snapshots.

05

Observed rate · %

Analytics delivery dates met

What this measures

Completed commitments assessed for “Analytics delivery dates met”, linked to stable client product references. Numerator: on_time; denominator: on_time plus late from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Compare actual completion with the original agreed deadline and timezone; never move the deadline to improve the result. Corrections replace the original event instead of counting twice.

06

Observed rate · %

Instrumentation checks passed

What this measures

Completed assessments for “Instrumentation checks passed”, linked to stable client product references. Numerator: passed; denominator: passed plus failed from the same assessed population. Classify each observation once and preserve failures. Exclude pending or unknown cases, unassessed records and illustrative values. Apply the documented requirement or acceptance checklist and retain the actual supporting evidence; do not infer a pass from an administrative status. Corrections replace the original event instead of counting twice.

Your reports start empty. Figures reflect observed work in the selected period; missing records are not treated as measured zeroes. Current jobs, schedules and stock stay in your working files and tasks. You and your agent can adapt the dashboard as your business changes.

Keep the tools that already work

Specialised in your trade. Open to your next idea.

Your AI agent starts with the details of your business already in mind. The three workflows are starting points. Ask it for help with another task in the same conversation.

An AI agent prepared for your business

The starting instructions, intake questions and working rules already match product analytics consultancies. Add your service list and one example of your tone when you are ready.

Give your agent the whole job

Give your agent an outcome, the access it needs and your budget. It handles routine decisions and follows through in your connected tools, asking when a missing business decision needs you. Set or change your own boundaries whenever you want.

Ask beyond the starting workflows

Your agent can take on a new assignment, build a new workflow, improve its saved methods and adapt its dashboard as your needs evolve. The starting examples do not limit its capabilities. Give your agent another task in plain language. What it can carry out depends on the tools you connect and the access you choose.

Recommended starting plan

Your AI agent for product analytics consultancies.

Begin with one specialist and a report preset for your business. After setup, your regular Agent Teams conversation opens. No tool selection before your first conversation.

$249.00/month

Capacity for 1 running agent · hosting throughout the month

Start my AI agent →

A clear starting total

Your Agent plan is $199/month with hosting included. This recommended offer adds $50 in monthly Platform Credit funding, for $249/month.

$249.00 before tax today and monthly, including $50.00 in monthly Platform Credit funding.

Credits offer an easy start and unused credits roll over. You can switch to your own subscriptions or API keys anytime, with no Platform Credits needed for that AI work. Hosting is included within your agent’s resource allocation. Optional voice and other services use credits.

Hosting availability is checked before payment. Create your account, confirm your monthly subscription, then start chatting when your specialist is ready. Your instructions and dashboard are prepared automatically after payment.

Other plans and connection options →

Prefer your own AI accounts? Choose a plan without the extra $50 monthly credit funding using the options above. Changing AI access alone does not remove that funding. Automatic top-ups start off; buy credits or set top-ups and spending limits when needed. Keep the full Teams controls for models, connections and supported settings.

Before you begin

An AI agent for product analytics consultancies.

How does the agent keep client product work accurate?

Preserve event schemas, user identity rules, cohort windows and experiment assignments. Investigate instrumentation changes before interpreting conversion or retention movements. It keeps source references with the working files, checks the result and follows up on discrepancies. Ask it to adjust the method or report whenever your needs change.

Is this only for the three tasks shown?

No. This is an AI agent specialised for product analytics consultancies, with three prepared workflows to get you started. You can ask for writing, research, planning, analysis or another task in the same chat. It can make routine decisions and carry the work through using available tools. You set its boundaries; it asks when a real business decision or missing access needs you.

What happens after I subscribe?

After payment, we prepare your AI agent for product analytics consultancies, its workflows and your client product and funnel definition register dashboard. Your regular Agent Teams chat opens when setup is ready. Files, Tasks, settings and billing work the same as for other customers. Reports start empty and count actual reported work; the examples above are illustrative.

Do I need to connect email or messaging?

No. Prepare your first brief and draft here. Connect external channels later when you want the specialist to work there.

Does this replace my existing business software?

Use it alongside your current tools for preparing work and organising jobs. Live stock, availability, sending and payment records require a verified connection or your own confirmation.