Mean Time to Lead

Launching soonFirst episodes in production

Mean Time to Lead

How fast leaders see what matters, and what they do next.

A podcast with Manish Kapoor about leadership, AI, cybersecurity and IT operations, and the one number nobody puts on a dashboard.

01Notice02Decide03Communicate04Followthrough
00:00:00Time since you opened this page

The show open

“This is Mean Time to Lead. I'm Manish Kapoor. Every week we look at how fast leaders see what matters, and what they do next.”

01The idea

Your systems have a stopwatch. You don’t.

Operations teams have tracked two numbers for a long time: mean time to detect and mean time to repair. They are standard metrics, not ours, and they work because they split one bad night into parts you can fix.

There is a third number almost nobody tracks. How long does it take a leader to see what matters, and then act on it? Call it mean time to lead. That is the number this show is about.

Three operations metrics and whether they are usually tracked
MetricThe question it answersWhere it lives
MTTDMean time to detectHow long until the team knows something is wrong?On the dashboard
MTTRMean time to repairHow long until it is fixed?On the dashboard
MTTLMean time to leadHow long until the leader sees what matters, and acts?On nobody’s dashboard

MTTD and MTTR are long-standing IT operations metrics with no single inventor. Mean time to lead, and the four clocks below, are the framing of this show.

The first episodes put this number to work on real decisions. Hear the first one the day it is out.

02The four clocks

Four clocks run every time something important happens.

Add them up and you get your mean time to lead. Most leaders assume the slow one is deciding. Look back at a few real decisions, and the lost time is usually hiding somewhere else.

  1. T0 Signal
  2. T1 Noticed
  3. T2 Decided
  4. T3 Heard
  5. T4 Closed
  1. Clock 01Signal to Noticed

    Notice

    From the moment a signal exists to the moment you register it as important.

    Where it leaksBad news loses a little detail at every layer it climbs.

  2. Clock 02Noticed to Decided

    Decide

    From noticing to making a call. “We will know more by Thursday” counts, if you mean it.

    Where it leaksEvery call gets treated as if it can never be undone.

  3. Clock 03Decided to Heard

    Communicate

    From the decision to the moment the people who have to act understand it.

    Where it leaksSending a message gets mistaken for being understood.

  4. Clock 04Heard to Closed

    Follow through

    From the announcement to the moment the work is done, checked and closed.

    Where it leaksNobody owns the close, so nobody looks.

Take all the time you need to think. Just stop losing time to waiting.

The working rule behind every episode

03Ten series

Ten series. One question underneath all of them.

Did this help you see sooner, decide better, say it clearly, or finish the job?

  1. S01

    Mean Time to Patch

    Vulnerabilities and patching

  2. S02

    Securing the AI Agent

    Identity, access and control for AI agents

  3. S03

    AI in IT Operations

    What AI does in real IT work

  4. S04

    Leading in the AI Era

    The leader’s job, rewritten

  5. S05

    The Boardroom Brief

    CIO, CISO and the board

  6. S06

    Mean Time to Recover

    Resilience and incidents

  7. S07

    Careers and Talent

    Hiring, growing and reskilling

  8. S08

    Data, Governance and Regulation

    Rules, frameworks and data

  9. S09

    Emerging Technology Watch

    What is new, and what matters

  10. S10

    Lead Time

    The craft of leadership

What each series covers

04In production

The first episodes.

Titles only for now. Nothing here is published yet, and there are no release dates.

  1. 01Treat AI agents like new hiresSecuring the AI Agent
  2. 02Workslop: when AI output looks finished but isn’tLeading in the AI Era

Read the episode previews

05Your host

Portrait of Manish Kapoor, host of Mean Time to Lead

Manish Kapoor

Manish Kapoor is a researcher and practitioner in AI applications to IT operations and cybersecurity.

He is the author of AI in IT (2025) and a peer reviewer for IEEE journals.

About the host

Status: First episodes in production

Launching soon.

The first episodes are in production. There is no release date yet; when there is one, it will be posted here.

Get notified by email

One email when the first episode is out, then a short note for each new one. No ads, never shared, unsubscribe in one click. Links to Apple Podcasts, Spotify and other podcast apps will appear here at launch.

See the first planned episodes