What are the best ways to get users to adopt new application features?

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The Direct Answer

The best ways to drive feature adoption are to fix discovery, remove first-use friction, and prove value in the first interaction — all delivered inside the application rather than through email or training. Most new features go unused not because they are bad, but because users never discover them, get stuck the first time they try, or do not see the payoff fast enough to come back. The highest-leverage tactic is in-app guidance that announces the feature in context, walks the user through the first successful use, and reinforces it until it becomes a habit. VisualSP delivers exactly this by embedding announcements, walkthroughs, and inline tips directly into Microsoft 365, Dynamics 365, and custom apps, so a new feature is discovered and learned at the keyboard instead of in an inbox.

Deeper Explanation

Feature adoption fails in predictable, nameable places, and naming them is the first step to fixing them. Adoption is a funnel: a user has to be exposed to a feature, try it once, use it regularly, and keep coming back, and a single low adoption number hides which stage is leaking. The benchmarks are sobering — analysis of SaaS products puts the average core-feature adoption rate at just 24.5%, meaning even central features reach only about one in four eligible users, and for secondary or advanced features the ceiling is lower still, with industry data showing typical adoption of 20-30% for core features and only 10-15% for secondary ones. If you treat “low adoption” as one problem, you will throw a single tactic at three different failures and fix none of them. The discipline that separates teams who move these numbers from teams who do not is diagnosis before treatment: measure how many eligible users were exposed, how many tried the feature once, and how many came back, and the shape of the drop-off tells you which stage is broken. A feature with high exposure but low first use has a friction problem; a feature with low exposure has a discovery problem; a feature with strong first use but weak return has a value or reinforcement problem — and each demands a different intervention, so applying the wrong one wastes the rollout.

The most common leak, by a wide margin, is discovery, and the fix is in-app messaging rather than a product redesign. The number one reason a feature goes unused is that users simply do not know it exists, because the announcement landed in a channel they do not read at the moment they could act on it — a release-notes email is read, if at all, away from the screen where the feature lives and forgotten by the time the user is back in the workflow. The same is true of the second leak, first-use friction: when a feature requires configuration or a few unfamiliar steps, users abandon it on the first attempt, and what moves the needle is a guided first run that carries them to a successful outcome before they give up. This is precisely where a digital adoption platform earns its keep, and where VisualSP helps application owners improve feature adoption and guide users through correct workflows without redesigning the app — a contextual announcement on the relevant screen followed immediately by a walkthrough turns a passive notification into an active first win, the hinge of the whole funnel, because a user who succeeds once forms an intention to return while a user who stalls once forms an aversion no follow-up email can undo. The third reason adoption stalls has nothing to do with the feature and everything to do with change: research finds that 70% of change initiatives fail and only about 34% of major changes achieve their goals, often because reinforcement is missing after launch. The antidote is sustained, in-context reinforcement plus the visibility to aim it, which VisualSP’s Clarity Connect 365 supplies by revealing where users struggle, what to improve, and how adoption changes over time across Microsoft 365 and Dynamics 365, so each nudge targets the segment that actually stalled instead of spamming everyone.

The Research

Strategy and Actionable Steps

Driving adoption means working the funnel deliberately — discovery, first use, habit — and delivering each push inside the application. The steps below do that.

  • Announce the feature where the work happens, not in an inbox. An email read at a desk is forgotten by the time the user is back in the app. Surface the announcement in-app, on the screen where the feature is relevant, so awareness and opportunity arrive together. VisualSP lets application owners post contextual in-app announcements inside Microsoft 365 and Dynamics 365, so the feature is discovered at the exact moment it can be used rather than skimmed and lost.
  • Guide the first successful use, don’t just point at the feature. Most abandonment happens on the first attempt, when an unfamiliar step or required setup stops the user cold. Replace “here’s a new button” with a walkthrough that carries the user all the way to a successful first outcome. The first interaction has to deliver visible value, because a user who succeeds once comes back and a user who stalls once rarely does.
  • Target only the users who haven’t adopted yet. Broadcasting to everyone creates noise for people already using the feature and dilutes the message for those who need it. Segment by who has not yet adopted, and direct your announcement and guidance only at them. Precise targeting raises the response and avoids the announcement fatigue that makes users tune out the next message.
  • Remove activation friction with in-context help, not a manual. If a feature needs configuration or a sequence of steps, embed the instructions inline at each step so the user never has to leave to look something up. Inline tips, field prompts, and sensible defaults turn a multi-step setup into something a user completes on the first try instead of postponing indefinitely.
  • Measure the adoption funnel and reinforce where it leaks. Do not guess which stage is failing. Use behavior analytics to see whether the problem is discovery, first use, or retention, then aim your effort there. VisualSP’s Clarity Connect 365 shows where users hesitate, abandon, or diverge, so you can tell a discovery failure from a friction failure and fix the right one instead of spraying tactics at all three.
  • Reinforce until the feature becomes a habit. A single announcement produces a curiosity spike that fades. Bring the right user back with a contextual nudge triggered when they complete a related action but skip the new feature, so usage repeats until it sticks. Adoption that survives the first month is the only adoption that counts, and reinforcement is what carries a feature across that line. The mistake most rollouts make is treating launch day as the finish line, when it is closer to the starting gun; the habit forms over the following weeks, through repeated contextual prompts that gradually shift the user’s default behavior, and a feature left unreinforced after its launch reliably decays back to whatever the user did before.
  • Tie adoption to a real outcome, not a vanity metric. First-use spikes flatter the data; sustained use after 90 days is what proves value. Define success as repeat usage by the right segment, and use that as your bar. In-app guidance at scale pays off measurably — VisualSP reports a 1,109% ROI across more than two million users, the kind of return that comes from features actually getting used rather than merely shipped.

FAQ

Why don’t release-notes emails drive feature adoption?

Because they reach the user in the wrong place at the wrong time. A release-notes email is read — if at all — away from the application, so by the time the person is back in the workflow where the feature would help, the message is gone. Email is excellent for a durable record and for reaching a broad audience, but it cannot put the feature in front of the user at the moment of action. In-app announcements close that gap by surfacing the feature on the very screen where it can be used.

Is low feature adoption always a problem?

No. Context decides. A 15% adoption rate is healthy for an optional power feature aimed at a narrow segment, but alarming for a core workflow everyone needs. The right benchmark is the success criterion you set when you scoped the feature, not an industry average. Before you intervene, check whether the low number reflects a genuine discovery or friction failure or simply a feature built for a small, well-served audience — the fixes are completely different.

What’s the single highest-leverage tactic for adoption?

Fixing discovery with in-app guidance, because it addresses the most common failure at the cheapest cost. The leading reason features go unused is that users never find them, and the remedy is not redesign or retraining but a contextual announcement and a guided first run delivered inside the app. Get discovery and first-use right and you have solved the two stages where most adoption is lost, before reinforcement even comes into play.

How do we tell which stage of the adoption funnel is failing?

Measure the funnel rather than the headline number. Count how many eligible users were exposed to the feature, how many tried it once, and how many came back, and the shape of the drop-off names the problem: low exposure is a discovery failure, high exposure but low first use is a friction failure, and strong first use but weak return is a value or reinforcement failure. VisualSP’s Clarity Connect 365 makes that visible by showing where users hesitate, abandon, or diverge, so you can fix the stage that is actually broken instead of spraying one tactic across all three.

How do we keep a new feature from fading after launch?

Treat launch day as the starting gun, not the finish line. A feature announced once and never reinforced produces a brief curiosity spike and then decays back to old habits, exactly the way an unsupported change does. Sustained, in-context reinforcement — a contextual nudge that brings the right user back to the feature at the right moment — is what carries adoption past the first month, and VisualSP delivers those nudges inside the app so usage repeats until it becomes a habit.

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