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InsightsJune 9, 2026· 6 min read

How to Evaluate a Platform in 60 Days (and Why 30 Isn't Enough)

A 30-day trial gives you a demo with your logo on it. A 60-day evaluation gives you enough signal to make a confident decision. Here is how to structure the difference.

The Problem With 30-Day Trials

Most software vendors love a 30-day trial. It is long enough to generate excitement and short enough to avoid hard questions. You get a polished onboarding flow, a few training sessions, and a dashboard that looks great in a screenshot. What you do not get is a real answer to the question that actually matters: will this platform hold up when your business runs on it?

Thirty days is not enough time to hit a billing cycle, run a quarter-end close, onboard a new team member, or see how the system behaves when something breaks. You are evaluating a product at its best. You need to evaluate it at its normal.

Sixty days is not a luxury. It is the minimum to get honest signal.

What You Are Actually Trying to Learn

Before you structure a timeline, get clear on what a good evaluation answers. Most teams go in trying to answer 'does this do what we need?' That is the wrong question. The right questions are:

Notice that none of those questions can be answered in a demo. Most cannot be answered in 30 days. They require time, volume, and at least one problem.

The 60-Day Framework

Days 1-15: Setup and Baseline

The first two weeks are not about evaluation. They are about setup. You cannot judge a platform fairly until it reflects your actual business. This means importing real data, configuring your actual workflows, and connecting the integrations you depend on today.

If the vendor cannot get you to a working baseline in 15 days, that is your first data point. It is not a minor note. Slow onboarding at the evaluation stage almost always means slow support at the renewal stage.

At the end of week two, document your baseline. What did setup cost in hours? What had to be customized versus what worked out of the box? What questions did you ask support, and how fast and how accurately did they answer?

Days 16-30: Supervised Use

Now run your real work through the platform. Not a pilot. Not a side project. Actual deals, actual tickets, actual customers. Assign two or three people who will use it daily and ask them to log friction points in a shared document - not complaints, friction points. There is a difference. A complaint is 'I do not like where this button is.' A friction point is 'I had to switch to a spreadsheet to do this because the platform could not handle it.'

This is also when you start asking pricing questions you did not ask during the sales process. What happens to your cost when you add contacts? When you add AI features? When you hit a certain data volume? Platforms that look affordable at evaluation often look very different at scale. You want the contract math on paper before you are halfway through migration.

Days 31-45: Stress Testing

By day 31, the vendor's onboarding team has typically moved on. You are in standard support. This transition is where a lot of platforms reveal their real quality. Response times change. Documentation becomes your primary resource. This is by design, not by accident, and it tells you a great deal about what the next three years will look like.

Use this window to deliberately break things. Submit an edge-case support ticket. Try a workflow the platform was not obviously built for. Pull a data export and check if it is actually usable. Ask your vendor a hard question about your contract - something like 'what happens to our data if we cancel?' - and see how they respond.

You are not trying to catch them. You are trying to see how they behave under mild pressure, because that is how they will behave when you have a real problem at the worst possible time.

Days 46-60: Decision Criteria Review

The final two weeks are not for learning new things. They are for making a decision against criteria you wrote down on day one. If you did not write down criteria on day one, do it now and backfill your observations. The criteria should cover at least four areas:

Score each area. Do not average them. A platform that scores high on features but low on adoption risk is a bad bet. A platform with unclear year-two pricing is a liability no matter how good the product is.

The Comparison Mistake Most Teams Make

Teams that evaluate two platforms simultaneously almost always make the same error: they compare the platforms to each other instead of comparing each platform to their requirements. One product looks better than the other, so they pick it. But 'better than the alternative' is not the same as 'good enough for us to run our business on.'

Evaluate against a rubric first. Then compare. If neither platform clears your bar on the criteria that matter most, that is a valid outcome. It is better to extend the evaluation than to commit to a platform because the deadline felt real.

What a Good Outcome Looks Like

At the end of 60 days, you should be able to answer three questions without hedging:

  1. Does this platform reduce our operational complexity, or does it add to it?
  2. Do we understand what we are buying, including the costs we cannot see today?
  3. Has the vendor earned the right to be a long-term dependency in our business?

If you can answer all three with confidence, you have done a real evaluation. If you are still uncertain on any of them, you do not have enough information to sign a multi-year contract. That uncertainty is data. Use it.

The 30-Day Version Is a Sales Tool

To be direct about it: a 30-day trial is designed to generate momentum toward a close, not to give you genuine decision confidence. That is not a criticism of the vendors who offer it. It is just an accurate description of what it is.

If a vendor will not give you 60 days, ask why. If the answer is a policy rather than a reason, that tells you something. Vendors who are confident in their product at normal conditions do not need to rush you past them.

Take the time. The cost of a bad platform decision - in migration, retraining, lost data, and lost time - is almost always larger than the cost of a longer evaluation.

Platform EvaluationCRMRevOpsSoftware SelectionField ServiceBusiness Software