Time to Market (TTM): Definition, Formula, Examples, KPIs

TTM, or speed to market (STM), is the calendar time from a product’s first approved idea to its launch. The clock counts calendar days, not logged hours, so an idle week still adds to the total. You use it to compare one launch against the last.

Most new product development splits into four phases worth measuring separately:

The same measurement works for services. A consultancy packaging a new compliance assessment starts the clock at internal approval. It stops the clock when the first client is billed. An agency launching a content service measures from sign-off to its go-live date, when clients can first buy it.

A TTM definition is only useful once you fix the two ends. Some firms start at project charter approval, and others wait until the project is fully staffed. The end point might be manufacturing transfer or first sale.

That choice moves the answer by months, so write both ends down before anyone quotes a number. The speed to market definition is identical: STM and TTM are two names for one measurement.

TTM stops at launch, and time to value (TTV) stops when the client gets the first result they bought. Example: the consultancy approves its compliance assessment on March 2 and bills the first client on May 11.

It delivers that client’s first assessment report on June 22. TTM is 70 days, and time to value is 42 days, counted from the sale.

Track only TTM and the launch looks finished on day 70. The client’s time to value still has six weeks to run, with nothing they can use yet. A Mind the Product article makes a case for prioritizing time to value, because it ties directly to retention.

For customer-facing products and product updates, time to value runs from release to a customer’s first result. If time to value runs long, check onboarding steps, missing client data and the first review date. 

Record three dates on every launch: approval, first sale and first delivered result.

You calculate time to market by subtracting the start date from the launch date, in calendar days.

The same days then split into three types, so you can see which one to cut.

Working days are days someone spends on the deliverable. Waiting days pass with no work possible, because a specialist is booked elsewhere or an approval is unsigned. Rework days go to redoing a deliverable after late feedback.

Count each day once.

Starting the clock at approval leaves out the fuzzy front end (the informal idea work before sign-off). On a new product introduction (NPI), you can start concept-to-launch time the day the product concept is approved.

The example uses approval as its start.

An agency approves a new SEO audit service on January 12, 2026. It treats the first invoice on March 13, 2026 as the product launch, so TTM is 60 calendar days.

Each row total is that phase’s lead time. Waiting share is waiting days divided by total days: 31 of 60, or 52%. Waiting took more days than work, and market introduction alone waited 10 days. Fix that phase first on the next launch.

Run the same split on your last launch. Take working days from timesheets, waiting days from approval and booking dates, and rework days from reopened tasks.

TTM is important because every week of delay is a week of revenue the launch never earns back. The market window and product lifecycle stay fixed, so a late launch sells for fewer weeks.

Market trends and competitor releases set when that launch window closes, not your plan.

A late product launch keeps the team booked, so the next launch in your product portfolio starts late too. Revenera’s 2024 survey of 418 technology leaders ranked delayed feature releases as the top barrier to recurring revenue growth.

Launching first wins the early customers, and their usage gives you market signals competitors cannot see yet. That lead is the first-mover advantage. It turns into a lasting competitive advantage only if product quality holds.

Teams that skip user needs for rapid market entry often struggle with customer satisfaction and retention.

A missed date costs brand reputation even when the work is good, because the client planned around it. In product development, shorter launches mean more release cycles a year, so product innovation reaches real customers more often.

The KPIs for measuring TTM are total days, phase cycle time, waiting share, on-time delivery rate and change turnaround.

Software teams can add sprint velocity: the work a team finishes per sprint (a fixed one- or two-week cycle). A falling sprint velocity warns you that the current phase will run long, before any date moves.

Compare KPIs only between launches of similar scope, such as two new product introductions, or the gaps mislead. TTM KPIs measure time; other delivery metrics worth tracking cover estimates, schedule variance and utilization.

The factors influencing TTM are your development strategy, delivery method, team setup and resource allocation. Each one adds working, waiting or rework days to the calendar.

Resource planning and workflow fixes mostly cut waiting days, because they decide who is free and when.

Cross-functional teams cut waiting too, because a brief no longer queues at each department’s handoff. Book people for the dates you need them, so the launch timeline matches the plan.

Your product development strategy decides which market opportunities you chase and in what order. Fix it before the first task is assigned, so later changes arrive as decisions instead of surprises. Rank each launch against the rest of your product portfolio, so the most valuable one gets staffed first.

Agile methodologies cut rework by shortening the time between building something and hearing it is wrong. The saving depends on reviewers: an Agile workflow only helps if feedback arrives inside each sprint.

Agile working splits the development cycle into short releases, so problems show up within weeks. It does nothing for a client sign-off that waits in someone’s inbox, so track those waits separately.

Software teams can run the cycle in Agile project management software.

The team approach puts design, engineering and legal on one launch team, so work stops waiting at handoffs. Clear objectives and one shared definition of done let people decide without escalating.

Name one tiebreaker for conflicting priorities, usually the launch owner from product management or account management. Without one, every conflict escalates and the phase waits for the answer.

Resource allocation means deploying budget, people and tools against the plan, then watching two numbers that predict slippage. The first is who is overbooked next month. The second is how many hours a deliverable has used against its estimate.

Neither exists if nobody logs time. Without timesheets, you cannot show that a phase ran 30 hours over a 40-hour budget. You also cannot say who has capacity for the next client.

Three checks catch slippage early: bookings against capacity, logged hours against the estimate, and a dated scope sign-off. Miss one and the gap turns into calendar time you only see at the launch review.

In Productive, the Resource Planner shows each person’s bookings next to their availability. A budget’s Time warning alerts the budget owner when billable hours reach a set percentage of estimated hours.

Real-world TTM examples include Airbnb’s ten-month launch, COVID-19 vaccines in under a year and Rivian’s first electric pickup:

Each example removed a different kind of delay. Airbnb lowered the risk of rework by proving demand before the build. The vaccine makers cut waiting time by overlapping phases.

Rivian skipped factory construction, yet pandemic delays and a chip shortage still moved its date twice. Services follow the same clock. The agency SEO audit in the worked example had a 60-day time to launch, from approval to first invoice.

Physical products add waits from regulatory requirements, manufacturing processes and the supply chain, as the vaccines and Rivian show.

TTM’s biggest challenges are scope added after sign-off, approvals with no named owner, and dates promised before capacity checks.

Scope added after sign-off is work agreed mid-phase without moving the launch date. Each addition looks small, which is how scope creep builds up. Example: in a status call, the account lead agrees to one extra page, and design runs 30 hours over.

The account lead says yes to protect the relationship. The product requirements change, and nobody updates the estimate or the launch timeline.

Route every addition through a written change request with the added hours, added cost and revised launch date. The launch owner signs it before anyone starts the work.

If the revised date on the request matches the old one, the request is wrong and goes back.

An approval with no named owner waits until someone notices it. Every day it waits adds a calendar day to your launch when the next phase needs it. You send a brief to “the client team” or “legal”, and nobody there owns the reply.

You promise a launch date while the deal is still in the CRM system, before anyone checks capacity. The specialists it needs are booked elsewhere, so the first phase waits for their first free week. Nobody sees the gap until kickoff, and by then the client has the delivery timeline in writing.

When a market deadline such as a trade show sets the date, a slip costs the client the event.

Before the date goes to the client, check bookings for every role the launch needs, phase by phase. List each role, the weeks it is needed, and its current bookings in those weeks. If any role is over 100% booked in those weeks, move the date or cut scope before sending it. 

Tools that check team capacity can run this check for every deal.

That check is capacity planning done at the deal stage, when moving a date still costs nothing. Record which option you chose on the deal, so the next estimate starts from real capacity.

For a faster time to market, ship an MVP, overlap phases, measure each launch, and track phase overruns. Each produces one artifact you can check: an MVP scope, a dependency list, a launch log, a phase report. For the fourth, start with our ranked list of PM tools.

None of the four needs Agile methodologies, though Agile teams will recognize the first two.

Ship the MVP first: the smallest version of the offering that a client will pay for. Airbnb’s three paying guests were an MVP. For a service, features are deliverables: the SEO audit could launch with the report and add the dashboard later.

Write a one-page MVP scope that lists each feature next to the customer interview or signed request behind it. Set a cap for release one before anyone adds to it, such as five features or six weeks. A feature with no customer interview or request behind it moves to release two.

Customer feedback from release one sets the scope of release two. Put release two on the product roadmap with a date, so deferred features stay visible.

Phases can run in parallel whenever the later one does not need the earlier one’s finished output. The phase-gate model (also called stage-gate) runs each phase only after the last one passes review.

That default is safe, but each gate review adds waiting days to the launch cycle. Manufacturers call the overlap concurrent engineering, and it shortens the critical path (the longest chain of dependent phases).

Write a dependency list with one row per phase and the input it needs before it can start. For the SEO audit, the launch page needed only the approved price, so it could be drafted during testing. 

A phase starts the day its named input exists, whatever the previous phase is doing. Agile working makes this easier, because short cycles produce reviewable output sooner.

The vaccine makers did this at scale, running manufacturing alongside phase 3 trials. Overlap only where an upstream change would cost less than a day of rework downstream. If an upstream change would throw away finished work, keep those phases in sequence.

Measure every launch against your last one, using the same start date, end date and KPIs each time. Keep a launch log with one row per launch: start date, launch date, idea-to-launch time and waiting share.

Log quality assurance fixes as rework days, so a fast launch with heavy rework stays visible.

Treat project risk management as a phase-gate task: reassess risks at every gate, with key stakeholders in the room. Keep some slack in each phase for the risks you find. After each launch, a short Lean or Six Sigma review lists the three phases with the most waiting days. Lean methodology targets waiting, and Six Sigma targets rework, so use whichever matches your biggest column.

Teams on Agile methodologies can feed sprint review notes into the same log. Read the log across your product portfolio to see which launch types run longest. Base the next estimate on what previous launches actually cost in days, not on what their plans said.

The software to look for logs hours per phase, shows overbooking, timestamps approvals and compares planned to actual days. Test each candidate with one phase report on product cycle time. A single screen should show which phase ran over, and by how many days.

In Productive, you can book a specialist tentatively on a deal before the client signs. The Resource Planner can count those tentative bookings in capacity, so the launch date is set against real availability.

Automation software should flag a phase as it passes its estimate, using real-time data rather than a weekly export. If phase data is split across legacy systems and spreadsheets, the waiting time you want to cut stays invisible.

Treat AI tooling as a bonus: it helps only when the hours and dates it reads are complete.

Speed and quality stop competing once the schedule shows what each phase costs in days. Name the standards you will not trade, usually a full QA pass and a dated scope sign-off. That is how you get a faster time to market without a rushed release cycle.

If your phase data is spread across several tools, book a demo or start a free two-week trial.